Design, Measurement, and Analysis in R (DMAR)
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Documentation for package ‘DMAR’ version 1.0.0
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A B C D E F G H I K L M N O P Q R S T U V W
| DMAR-package | Design, Measurement, and Analysis in R |
-- A --
| adjusted_means | Adjusted Cell and Marginal Means From a Fitted Linear Model |
| analysis_of_change | Analysis of Change: Fit Change Models to One or Many Trajectories |
| ancova | Analysis of Covariance (ANCOVA) |
| anova.mlmr | Likelihood Ratio Test for Nested Mlmr Fits |
| anova.mlmr_mv | Compare Nested Multivariate FIML Regression Fits |
| anova_within | One Way Within-Subjects ANOVA With Sphericity Diagnostics and Corrections |
| anova_within_two_way | Two-Factor Within-Subjects ANOVA With Sphericity Adjustments |
| as_kable | Publication-Ready Display of DMAR Result Tables |
| as_kable.dmar_tbl | Publication-Ready Display of DMAR Result Tables |
| average_variance_extracted | Average Variance Extracted (AVE) |
-- B --
| bayes_independent_t | Bayesian Independent-Samples _t_ Analysis |
| bayes_one_sample_t | Bayesian One-Sample _t_ Analysis |
| bayes_paired_t | Bayesian Paired-Samples _t_ Analysis |
| bessel_errors | Bessel's (1818) Grouped Frequency Distribution of Bradley's Astronomical Observation Errors |
| bifactor_indices | Bifactor Model Dimensionality and Reliability Indices |
| bryant_paulson | The Bryant-Paulson Generalized Studentized Range Distribution |
-- C --
| cfa_1 | One Factor Confirmatory Factor Analysis Model |
| cfa_2 | Two Factor Confirmatory Factor Analysis Model |
| cfa_k | Multiple-Factor Confirmatory Factor Analysis Model |
| ci_c | Confidence Interval for a Contrast in a Fixed Effects ANOVA |
| ci_correlation | Confidence Intervals for the Population Correlation and Multiple Correlation |
| ci_cv | Confidence Interval for the Coefficient of Variation |
| ci_c_ancova | Confidence Interval for an (Unstandardized) Contrast in ANCOVA With One Covariate |
| ci_c_ancova_bp | Bryant-Paulson Simultaneous Confidence Intervals for Contrasts of Adjusted Means in ANCOVA |
| ci_dunnett | Dunnett's Simultaneous Confidence Intervals Against a Control |
| ci_eigenvalue | Confidence Interval on the Largest Eigenvalue of a Sample Covariance Matrix |
| ci_eta_squared | Confidence Interval for Eta Squared (Effect Size for ANOVA) |
| ci_eta_squared_generalized | Confidence Interval for Generalized Eta Squared (Approximate) |
| ci_eta_squared_partial | Confidence Interval for Partial Eta Squared (Effect Size for ANOVA) |
| ci_games_howell | Provides Games-Howell Simultaneous Confidence Intervals for All Pairwise Comparisons Without Assuming Homogeneity of Variance |
| ci_mahalanobis | Confidence Interval for the Squared Mahalanobis Distance |
| ci_nc_chisq | Confidence Interval for the Noncentrality Parameter of a Noncentral Chi Square Distribution |
| ci_nc_F | Confidence Interval for the Noncentrality Parameter of a Noncentral _F_ Distribution |
| ci_nc_t | Confidence Interval for the Noncentrality Parameter of a Noncentral _t_ Distribution |
| ci_omega_squared | Confidence Interval for Omega Squared (Effect Size for ANOVA) |
| ci_proportion | Confidence Interval for a Single Proportion |
| ci_pvaf | Confidence Interval for the Proportion of Variance Accounted for (in the Dependent Variable by Knowing the Levels of the Factor) |
| ci_R | Confidence Intervals for the Population Correlation and Multiple Correlation |
| ci_r | Confidence Intervals for the Population Correlation and Multiple Correlation |
| ci_R2 | Confidence Interval for the Population Squared Multiple Correlation Coefficient |
| ci_rc | Confidence Interval for an Unstandardized Regression Coefficient |
| ci_reg_coef | Confidence Interval for a Regression Coefficient, Raw or Standardized |
| ci_rmsea | Confidence Interval for the Population Root Mean Square Error of Approximation |
| ci_sc | Confidence Interval for a Standardized Contrast in a Fixed Effects ANOVA |
| ci_scheffe | Scheffe-Adjusted Simultaneous Confidence Intervals for Contrasts |
| ci_sc_ancova | Confidence Interval for a Standardized Contrast in ANCOVA With One Covariate |
| ci_sm | Confidence Interval for the Standardized Mean |
| ci_smd | Confidence Interval for the Standardized Mean Difference (Two Independent Groups) |
| ci_smd_c | Confidence Limits for the Standardized Mean Difference Using the Control Group Standard Deviation as the Divisor |
| ci_snr | Confidence Interval for the Signal-to-Noise Ratio |
| ci_src | Confidence Interval for a Standardized Regression Coefficient |
| ci_srsnr | Confidence Interval for the Square Root of the Signal-to-Noise Ratio |
| ci_tukey_kramer | Tukey-Kramer Simultaneous Confidence Intervals for Pairwise Contrasts |
| cles | Common-Language Effect Size (McGraw & Wong, 1992) |
| cliff_delta | Cliff's delta Ordinal Effect Size |
| cohen_f | Cohen's _f_ Effect Size |
| cohen_h | Cohen's _h_ Effect Size for a Difference Between Two Proportions |
| cohen_kappa | Cohen's Kappa Coefficient of Inter-Rater Agreement |
| combine_p | Combine Independent P-Values Across Studies |
| common_method_marker | Marker-Variable Adjustment for Common Method Variance |
| common_method_single_factor | Single-Common-Factor Screen for Common Method Variance |
| compare_cov_structures | Likelihood-Ratio Comparison of Covariance Structures |
| content_validity_index | Content Validity Index From Expert Ratings |
| contrast_adjusted | Confidence Interval for a Contrast of Covariate-Adjusted Cell Means in a Factorial ANCOVA |
| contrast_test | Tests One or More Contrasts of Group Means in a One-Way Design |
| convert_chisq_F | Convert Between an _F_ Value and a Chi Square Value |
| convert_cor_cov | Correlation Matrix to Covariance Matrix Conversion |
| convert_delta_lambda | Conversion Functions for Noncentral _t_-distribution |
| convert_d_or | Convert Between the Standardized Mean Difference and the Odds Ratio |
| convert_d_r | Convert Between the Standardized Mean Difference and the Correlation |
| convert_F_chisq | Convert Between an _F_ Value and a Chi Square Value |
| convert_f_R2 | Convert Between _F_, R^2, and Their Noncentral Parameters |
| convert_lambda_delta | Conversion Functions for Noncentral _t_-distribution |
| convert_lambda_R2 | Convert Between _F_, R^2, and Their Noncentral Parameters |
| convert_or_d | Convert Between the Standardized Mean Difference and the Odds Ratio |
| convert_R2 | Convert Between _F_, R^2, and Their Noncentral Parameters |
| convert_R2_f | Convert Between _F_, R^2, and Their Noncentral Parameters |
| convert_R2_lambda | Convert Between _F_, R^2, and Their Noncentral Parameters |
| convert_r_d | Convert Between the Standardized Mean Difference and the Correlation |
| convert_r_Z | Convert a Correlation Coefficient (_r_) Into the Scale of Fisher's _Z_ |
| convert_t_smd | Conversion Functions for Noncentral _t_-distribution |
| convert_z_normal | Convert a Standard Normal _z_ Value to the Corresponding Value on a Normal Distribution |
| convert_Z_r | Convert Fisher's _Z_ Into the Scale of a Correlation Coefficient (_r_) |
| correction_for_attenuation | Correct a Correlation for Attenuation Due to Measurement Error |
| correlations_test | Formatted Correlation Matrix With _p_-values and Confidence Intervals |
| covmat_from_cfa | Generate a Population Covariance Matrix From a One-Factor Confirmatory Factor Model |
| cov_sem | Model Implied Covariance Matrix From a Lavaan-Specified SEM |
| cv | Coefficient of Variation (Biased or Unbiased Estimator) |
| cv_bonferroni_f | Provides the Bonferroni-Adjusted Critical Value for an _F_ Test of One of Several Contrasts |
| cv_bryant_paulson | Provides the Critical Value for the Bryant-Paulson ANCOVA Multiple-Comparison Procedure |
| cv_chisq | Provides the Critical Value(s) for a Chi Square Distribution |
| cv_dunnett | Provides the Critical Value for Dunnett's Many-to-One Comparisons Procedure |
| cv_f | Provides the Critical Value(s) for an _F_ Distribution |
| cv_scheffe | Provides the Critical Value for the Scheffé Procedure |
| cv_smm | Provides the Critical Value of the Studentized Maximum Modulus Distribution |
| cv_t | Provides the Critical Value(s) for a _t_-distribution |
| cv_tukey_hsd | Provides the Critical Value for the Tukey Honestly Significant Difference (HSD) Test |
| cv_z | Provides the Critical Value(s) for the Standard Normal Distribution (the _z_-distribution, With Mean 0 and Variance 1) |
-- D --
| dbryant_paulson | The Bryant-Paulson Generalized Studentized Range Distribution |
| depression_bdi | Depression Treatment Study With a Pretest Covariate |
| descriptives | Descriptive Statistics for One or More Variables |
| design_consequences | Consequences of a Design: Power, Sign and Magnitude Errors, and Expected Precision |
| design_effect | Kish's Design Effect (DEFF), DEFT, and the Effective Sample Size |
| diagnosis_agreement | Cohen's (1968) Psychiatric Diagnosis Agreement Table |
| dmacs | The dMACS Effect Size of Measurement Noninvariance |
| DMAR | Design, Measurement, and Analysis in R |
| dmar | Design, Measurement, and Analysis in R |
| dmar_output_helpers | Publication-Ready Display of DMAR Result Tables |
| dmar_tidiers | Tidy and Glance Methods for DMAR Result Tables |
| drinks_trial | Community Reinforcement Approach Drinking Trial With Homeless Alcohol-Dependent Individuals (Smith, Meyers, & Delaney, 1998) |
| dunn_test | Provides Dunn's Rank-Sum Test of All Pairwise Differences Following a Kruskal-Wallis Test |
-- E --
| ecvi | Expected Cross-Validation Index (ECVI) for a Covariance-Structure Model |
| effects_coding | Effects-Coding Contrast Matrix for a Factor |
| epsilon_corrections | Greenhouse-Geisser, Huynh-Feldt, and Lower-Bound Epsilon Corrections |
| equivalence_c | Equivalence and Noninferiority Tests for a Linear Contrast via Two One-Sided Tests (TOST) |
| equivalence_r | Equivalence Test for the Pearson Correlation via Two One-Sided Tests (TOST) |
| equivalence_smd | Equivalence Test for the Standardized Mean Difference via Two One-Sided Tests (TOST) |
| eta_squared | Eta Squared (Effect Size for ANOVA) |
| eta_squared_generalized | Generalized Eta Squared (Effect Size for ANOVA, Comparable Across Designs) |
| eta_squared_partial | Partial Eta Squared (Effect Size for ANOVA) |
| expected_partial_r | Exact Expected Value of the Sample Partial Correlation |
| expected_r | Exact Expected Value of the Sample Pearson Correlation Given rho and n |
| expected_R2 | Expected Value of the Squared Multiple Correlation Coefficient |
| expected_smd | Exact Expected Value of Cohen's _d_ (and Hedges' _g_ Bias Correction) |
-- F --
| factorial_anova | Between-Subjects Factorial ANOVA for Unbalanced Designs |
| fleiss_kappa | Fleiss's Kappa for Inter-Rater Agreement Among Multiple Raters |
| format_p | Format _p_-values for Display the DMAR Way |
-- G --
| glance.dmar_cfa_k | Glance at a Multiple-Factor CFA Fit |
| glance.dmar_ci_anova | Tidy and Glance Methods for DMAR Result Tables |
| glance.dmar_ci_long | Tidy and Glance Methods for DMAR Result Tables |
| glance.dmar_ci_R2 | Tidy / Glance Methods for ci_R2 Output |
| glance.dmar_ci_smd | Tidy / Glance Methods for ci_smd Output |
| glance.dmar_content_validity | Tidy and Glance Methods for DMAR Result Tables |
| glance.dmar_contrast_test | Tidy and Glance Methods for DMAR Result Tables |
| glance.dmar_dmacs | Tidy and Glance Methods for DMAR Result Tables |
| glance.dmar_measurement_alignment | Tidy and Glance Methods for DMAR Result Tables |
| glance.dmar_measurement_invariance | Tidy and Glance Methods for DMAR Result Tables |
| glance.dmar_mediation_mbco | Glance at an MBCO Mediation Fit |
| glance.dmar_post_hoc_ci | Tidy and Glance Methods for DMAR Result Tables |
| glance.dmar_R2_mixed_effects | Tidy / Glance Methods for R2_mixed_effects Output |
| glance.dmar_reliability | Glance at a Reliability Coefficient Estimate |
| glance.dmar_ss_aipe | Tidy and Glance Methods for DMAR Result Tables |
| glance.dmar_ss_power | Tidy and Glance Methods for DMAR Result Tables |
| glance.dmar_ss_power_sensitivity | Tidy and Glance Methods for DMAR Result Tables |
| glance.dmar_summary_t_test | Broom-Style Tidy / Glance Methods for 'summary_t_test()' |
| glance.dmar_tbl | Tidy and Glance Methods for DMAR Result Tables |
| glance.dmar_welch_t | Broom-Style Tidy / Glance Methods for 'welch_t()' |
| glance.mlmr | Glance at an Mlmr Fit |
| glance.mlmr_mv | A Multivariate FIML Regression Fit |
| gwet_ac | Gwet's AC1 and AC2 Chance-Corrected Agreement Coefficients |
-- H --
| helmert_coding | Helmert-Coding Contrast Matrix for a Factor |
| holzinger_swineford | Holzinger and Swineford (1939) Factor Analysis Study |
| htmt | Heterotrait-Monotrait Ratio of Correlations (HTMT) |
-- I --
| icc | Intraclass Correlation Coefficients With Confidence Intervals |
| icc_lmer | Intraclass Correlation From a Fitted 'lme4' Mixed-Effects Model |
| irt_grm | Graded Response Model for Ordered Categorical Items |
| irt_information | Item and Test Information for the Graded Response Model |
| is_orthogonal_set | Check Whether a Set of Contrasts Is Mutually Orthogonal |
-- K --
| knit_print.dmar_tbl | Publication-Ready Display of DMAR Result Tables |
| krippendorff_alpha | Krippendorff's alpha Inter-Rater Agreement |
| kurtosis | Bias-Corrected Sample Excess Kurtosis |
-- L --
| limits_of_agreement | Limits of Agreement (Bland-Altman) With Confidence Intervals on the Limits |
| lin_ccc | Lin's Concordance Correlation Coefficient |
| loa | Limits of Agreement (Bland-Altman) With Confidence Intervals on the Limits |
-- M --
| manova_split_plot | Mixed-Design Multivariate ANOVA With All Four Test Statistics |
| mauchly_test | Mauchly's Test of Sphericity for a One-Way Within-Subjects Design |
| measurement_alignment | Approximate Measurement Invariance by Factor Alignment |
| measurement_invariance | Measurement Invariance Across Groups |
| mediate | Mediation Analysis With Bootstrap Confidence Intervals |
| mediation_mbco | Mediation Analysis via Model-Based Constrained Optimization |
| meta_contrast | Contrast Among Study Effect Sizes (Rosenthal-Rubin) |
| meta_es | Random Effects Meta-Analysis of Generic Effect Sizes |
| meta_r | Random Effects Meta-Analysis of Correlations |
| meta_smd | Random Effects Meta-Analysis of Standardized Mean Differences |
| mixed_anova | Mixed-Model ANOVA F-Ratios for One- and Two-Way Designs |
| mlmr | Maximum Likelihood Multiple Regression |
| mlmr_mv | Multivariate Maximum Likelihood Regression With Full Information Missing Data Handling |
| moments_nc_chisq | Moments of the Noncentral Chi Square Distribution |
| moments_nc_F | Moments of the Noncentral _F_ Distribution |
| moments_nc_t | Moments of the Noncentral _t_ Distribution |
| mr_cv | Minimum Risk Point Estimation of the Population Coefficient of Variation |
| mr_smd | Minimum Risk Point Estimation of the Population Standardized Mean Difference |
-- N --
| nnt_from_smd | Number Needed to Treat (NNT) From Cohen's _d_ |
| now | A Friendly Date / Time Stamp and a Simple Stopwatch |
-- O --
| obrien_test | O'Brien's Test for Homogeneity of Variance |
| omega_squared | Omega Squared (Effect Size for ANOVA) |
| omega_squared_partial | Partial Omega Squared (Effect Size for ANOVA) |
| orthogonal_polynomial | Orthogonal-Polynomial (Trend) Contrast Coefficients |
-- P --
| pairwise_within | Paired Pairwise Comparisons With Multiple-Comparison Adjustment |
| pbryant_paulson | The Bryant-Paulson Generalized Studentized Range Distribution |
| plot.dmar_composite_power | Sample Size or Composite Power for a Two-Group ANCOVA With a Covariate |
| plot.dmar_composite_power_factorial | Sample Size or Composite Power for a Factorial ANCOVA |
| plot.dmar_composite_power_factorial_het | Composite Power for a Factorial ANCOVA With Heterogeneous Slopes |
| plot_cfa_k | Plot the Estimates of a Multiple-Factor CFA |
| plot_ci | Forest-Plot-Style Confidence Interval Display |
| plot_equivalence | Plot Contrasts Against an Equivalence Region |
| plot_forest | Forest Plot of Study Effect Sizes With the Pooled Estimate |
| plot_irt_information | Plot an Item Response Theory Information Curve |
| plot_mediation_mbco | Plot Conditional Effects From a Moderated Mediation Analysis |
| plot_R2 | Visualize the Proportion of Variance Explained (R^2) |
| plot_randomization_test | Plot the Randomization Distribution Behind a Randomization Test |
| plot_regions_of_significance | Plot Regions of Significance for a Covariate by Group Interaction |
| plot_smd | Visualize a Standardized Mean Difference With Overlapping Distributions |
| plot_trajectories | Visualize Observed Individual Trajectories in a Longitudinal Data Set |
| plot_trajectories_fitted | Plot Observed and Fitted Individual Trajectories From a Multilevel Model |
| power_density_equivalence_md | Density Underlying the TOST Power Calculation |
| power_equivalence_c | Power of the TOST or Noninferiority Test for a Linear Contrast |
| power_equivalence_md | Power of the Two One-Sided Tests Procedure (TOST) for Equivalence |
| power_equivalence_md_plot | Plot TOST Equivalence-Test Power Curves Over a Range of True Differences |
| power_fisher_exact | Power of Fisher's Exact Test (Noncentral Hypergeometric) |
| prime_time_achievement | Indiana Prime Time Third Grade Achievement Evaluation Data |
| print_anova | Print a Model Comparison or ANOVA Table With DMAR _p_-value Formatting |
| print_summary | Print a Model Summary With DMAR _p_-value Formatting |
| probability_of_superiority_paired | Probability of Superiority for a Paired-Samples Design |
| procrustes_phi | Tucker's Congruence Coefficient phi (Factor Similarity) |
| proportion_of_superiority | Proportion of Superiority (Sometimes Called Cohen's U_3) |
| pygmalion | Pygmalion in the Classroom Teacher-Expectancy Data |
-- Q --
| qbryant_paulson | The Bryant-Paulson Generalized Studentized Range Distribution |
-- R --
| R2_mixed_effects | Marginal and Conditional R^2 for a Mixed-Effects Model |
| R2_mixed_effects_decomposition | R-Squared Measures for Mixed-Effects Models |
| randomization_test | Randomization (Permutation) Test for Two Independent Groups |
| randomization_test_paired | Paired-Samples Randomization (Sign-Flip) Test |
| regions_of_significance | Regions of Significance for a Covariate by Group Interaction |
| reliability | Reliability Coefficient With a Confidence Interval (General Dispatch) |
| reliability_alpha | Coefficient Alpha With a Confidence Interval |
| reliability_H | Maximal Reliability Coefficient _H_ (Hancock & Mueller, 2001) |
| reliability_kr20 | Kuder-Richardson Formula 20 (KR-20) With a Confidence Interval |
| reliability_omega | Coefficient Omega (McDonald) With a Confidence Interval |
| reliability_omega_categorical | Categorical Omega for Ordered-Categorical Items, With a Confidence Interval |
| responder_analysis | Responder Analysis: Who Cleared the Threshold, by Group |
| results_sentence | Publication-Ready Display of DMAR Result Tables |
-- S --
| sd_unbiased | Unbiased Estimate of the Population Standard Deviation Under Normality |
| signal_to_noise_R2 | Signal to Noise Estimators for the Squared Multiple Correlation Coefficient |
| simple_effects_AB | Simple Effect F Tests for a Two-Factor Between-Subjects Design |
| simple_structure | Quantify Simple Structure in a Factor Loading Matrix |
| simulate_ancova_data | Simulate Data From a One-Covariate ANCOVA Model |
| simulate_ancova_factorial_data | Simulate Data From a Factorial ANCOVA Design (up to Four Factors, Any Number of Covariates) |
| simulate_anova_data | Simulate Data From a One-Way Fixed-Effects ANOVA Model |
| simulate_longitudinal_gompertz | Simulate Data From a Gompertz Change (Growth) Model |
| simulate_longitudinal_logistic | Simulate Data From a Logistic Change (Growth) Model |
| simulate_longitudinal_negative_exponential | Simulate Data From a Negative Exponential (Asymptotic Regression) Change Model |
| simulate_longitudinal_polynomial | Simulate Data From a Polynomial Change (Growth) Model |
| simulate_longitudinal_richards | Simulate Data From a Richards Change (Growth) Model |
| simulate_regression_data | Simulate Data From a Multivariate Normal Multiple-Regression Model |
| skewness | Bias-Corrected Sample Skewness |
| smd | Standardized Mean Difference |
| smd_c | Standardized Mean Difference Using the Control Group as the Basis of Standardization |
| smd_trimmed | Robust Standardized Mean Difference (Algina-Keselman-Penfield) |
| ss_aipe_c | Sample Size Planning for an ANOVA Contrast From the Accuracy in Parameter Estimation (AIPE) Perspective |
| ss_aipe_cliff_delta | Sample Size for AIPE on Cliff's delta |
| ss_aipe_cliff_delta_sensitivity | Sensitivity Analysis for Sample Size Planning From the AIPE Perspective for Cliff's Delta |
| ss_aipe_composite_sem | Sample Size for Accurate Estimation of a Set of SEM Parameters |
| ss_aipe_crd | Find Target Sample Sizes for the Accuracy in Unstandardized Conditions Means Estimation in CRD |
| ss_aipe_crd_both_fixed_budget | Find Target Sample Sizes for the Accuracy in Unstandardized Conditions Means Estimation in CRD |
| ss_aipe_crd_both_fixed_width | Find Target Sample Sizes for the Accuracy in Unstandardized Conditions Means Estimation in CRD |
| ss_aipe_crd_es | Find Target Sample Sizes for the Accuracy in Standardized Conditions Means Estimation in CRD |
| ss_aipe_crd_es_both_fixed_budget | Find Target Sample Sizes for the Accuracy in Standardized Conditions Means Estimation in CRD |
| ss_aipe_crd_es_both_fixed_width | Find Target Sample Sizes for the Accuracy in Standardized Conditions Means Estimation in CRD |
| ss_aipe_crd_es_n_clusters_fixed_budget | Find Target Sample Sizes for the Accuracy in Standardized Conditions Means Estimation in CRD |
| ss_aipe_crd_es_n_clusters_fixed_width | Find Target Sample Sizes for the Accuracy in Standardized Conditions Means Estimation in CRD |
| ss_aipe_crd_es_n_individuals_fixed_budget | Find Target Sample Sizes for the Accuracy in Standardized Conditions Means Estimation in CRD |
| ss_aipe_crd_es_n_individuals_fixed_width | Find Target Sample Sizes for the Accuracy in Standardized Conditions Means Estimation in CRD |
| ss_aipe_crd_n_clusters_fixed_budget | Find Target Sample Sizes for the Accuracy in Unstandardized Conditions Means Estimation in CRD |
| ss_aipe_crd_n_clusters_fixed_width | Find Target Sample Sizes for the Accuracy in Unstandardized Conditions Means Estimation in CRD |
| ss_aipe_crd_n_individuals_fixed_budget | Find Target Sample Sizes for the Accuracy in Unstandardized Conditions Means Estimation in CRD |
| ss_aipe_crd_n_individuals_fixed_width | Find Target Sample Sizes for the Accuracy in Unstandardized Conditions Means Estimation in CRD |
| ss_aipe_cv | Sample Size Planning for the Coefficient of Variation Given the Goal of Accuracy in Parameter Estimation Approach to Sample Size Planning |
| ss_aipe_cv_sensitivity | Sensitivity Analysis for Sample Size Planning From the Accuracy in Parameter Estimation Perspective for the Coefficient of Variation |
| ss_aipe_c_ancova | Sample Size Planning for a Contrast in Randomized ANCOVA From the Accuracy in Parameter Estimation (AIPE) Perspective |
| ss_aipe_c_ancova_sensitivity | Sensitivity Analysis for Sample Size Planning for the (Unstandardized) Contrast in Randomized ANCOVA From the Accuracy in Parameter Estimation (AIPE) Perspective |
| ss_aipe_c_sensitivity | Sensitivity Analysis for Sample Size Planning From the AIPE Perspective for an Unstandardized Contrast |
| ss_aipe_equivalence_r | AIPE Sample Size Planning for an Equivalence Test on the Pearson Correlation |
| ss_aipe_equivalence_r_sensitivity | Sensitivity Analysis for Sample Size Planning From the AIPE Perspective for an Equivalence-Test Correlation |
| ss_aipe_equivalence_smd | AIPE Sample Size Planning for an Equivalence Test on the Standardized Mean Difference |
| ss_aipe_equivalence_smd_sensitivity | Sensitivity Analysis for Sample Size Planning From the AIPE Perspective for an Equivalence-Test SMD |
| ss_aipe_icc | Sample Size for AIPE on an Intraclass Correlation Coefficient |
| ss_aipe_icc_sensitivity | Sensitivity Analysis for Sample Size Planning From the Accuracy in Parameter Estimation Perspective for an Intraclass Correlation Coefficient |
| ss_aipe_indirect_effect | Sample Size for AIPE on a Mediated (Indirect) Effect ab |
| ss_aipe_indirect_effect_sensitivity | Sensitivity Analysis for Sample Size Planning From the AIPE Perspective for an Indirect Effect |
| ss_aipe_mixed_effects | AIPE Sample Size Planning for a Fixed Effect in a Two-Level Mixed-Effects Model |
| ss_aipe_mixed_effects_sensitivity | Sensitivity Analysis for Sample Size Planning From the AIPE Perspective for a Mixed-Effects Fixed Effect |
| ss_aipe_omega_squared | Sample Size for AIPE on Omega Squared (ANOVA Effect Size) |
| ss_aipe_omega_squared_sensitivity | Sensitivity Analysis for Sample Size Planning From the AIPE Perspective for Omega Squared |
| ss_aipe_partial_r | Sample Size for AIPE on a Partial Correlation |
| ss_aipe_partial_r_sensitivity | Sensitivity Analysis for Sample Size Planning From the AIPE Perspective for a Partial Correlation |
| ss_aipe_pcm | Sample Size Planning for Polynomial Change Models in Longitudinal Study |
| ss_aipe_pcm_sensitivity | Sensitivity Analysis for Sample Size Planning From the AIPE Perspective for a Polynomial Change Parameter |
| ss_aipe_r | Sample Size for AIPE on a Pearson Correlation |
| ss_aipe_R2 | Sample Size Planning for Accuracy in Parameter Estimation for the Multiple Correlation Coefficient |
| ss_aipe_R2_sensitivity | Sensitivity Analysis for Sample Size Planning With the Goal of Accuracy in Parameter Estimation (I.e., a Narrow Observed Confidence Interval) |
| ss_aipe_rc | Sample Size Necessary for the Accuracy in Parameter Estimation Approach for an Unstandardized Regression Coefficient of Interest |
| ss_aipe_rc_sensitivity | Sensitivity Analysis for Sample Size Planning From the Accuracy in Parameter Estimation Perspective for the Unstandardized Regression Coefficient |
| ss_aipe_reg_coef | Sample Size Planning for a Single Regression Coefficient (AIPE) |
| ss_aipe_reg_coef_sensitivity | Sensitivity Analysis for Sample Size Planning From the Accuracy in Parameter Estimation Perspective for the (Standardized and Unstandardized) Regression Coefficient |
| ss_aipe_reliability | Sample Size Planning for Accuracy in Parameter Estimation for Reliability Coefficients |
| ss_aipe_reliability_sensitivity | Sensitivity Analysis for Sample Size Planning From the AIPE Perspective for a Reliability Coefficient |
| ss_aipe_rmsea | Sample Size Planning for RMSEA in SEM |
| ss_aipe_rmsea_sensitivity | A Priori Monte Carlo Simulation for Sample Size Planning for RMSEA in SEM |
| ss_aipe_r_sensitivity | Sensitivity Analysis for Sample Size Planning From the AIPE Perspective for a Pearson Correlation |
| ss_aipe_sc | Sample Size Planning for Accuracy in Parameter Estimation (AIPE) of the Standardized Contrast in ANOVA |
| ss_aipe_sc_ancova | Sample Size Planning From the AIPE Perspective for Standardized ANCOVA Contrasts |
| ss_aipe_sc_ancova_sensitivity | Sensitivity Analysis for the Sample Size Planning Method for Standardized ANCOVA Contrast |
| ss_aipe_sc_sensitivity | Sensitivity Analysis for Sample Size Planning for the Standardized ANOVA Contrast From the Accuracy in Parameter Estimation (AIPE) Perspective |
| ss_aipe_semipartial_r | Sample Size for AIPE on a Semipartial (Part) Correlation |
| ss_aipe_semipartial_r_sensitivity | Sensitivity Analysis for Sample Size Planning From the AIPE Perspective for a Semipartial Correlation |
| ss_aipe_sem_path | Sample Size Planning for SEM Targeted Effects |
| ss_aipe_sem_path_sensitivity | A Priori Monte Carlo Simulation for Sample Size Planning for SEM Targeted Effects |
| ss_aipe_sm | Sample Size Planning for Accuracy in Parameter Estimation (AIPE) of the Standardized Mean |
| ss_aipe_smd | Sample Size Planning for the Standardized Mean Difference (AIPE) |
| ss_aipe_smd_sensitivity | Sensitivity Analysis for Sample Size Given the Accuracy in Parameter Estimation Approach for the Standardized Mean Difference |
| ss_aipe_sm_sensitivity | Sensitivity Analysis for Sample Size Planning for the Standardized Mean From the Accuracy in Parameter Estimation (AIPE) Perspective |
| ss_aipe_src | Sample Size Necessary for the Accuracy in Parameter Estimation Approach for a Standardized Regression Coefficient of Interest |
| ss_aipe_src_sensitivity | Sensitivity Analysis for Sample Size Planning From the Accuracy in Parameter Estimation Perspective for the Standardized Regression Coefficient |
| ss_power_c | Sample Size or Power for an Unstandardized Contrast in a One-Way Between-Subjects ANOVA |
| ss_power_composite_ancova | Sample Size or Composite Power for a One-Way or Factorial ANCOVA |
| ss_power_composite_ancova_2group | Sample Size or Composite Power for a Two-Group ANCOVA With a Covariate |
| ss_power_composite_anova | Sample Size or Composite Power for a One-Way or Factorial ANOVA |
| ss_power_composite_factorial_ancova | Sample Size or Composite Power for a Factorial ANCOVA |
| ss_power_composite_factorial_ancova_het | Composite Power for a Factorial ANCOVA With Heterogeneous Slopes |
| ss_power_composite_factorial_anova | Sample Size or Composite Power for a Factorial ANOVA |
| ss_power_composite_sem | Sample Size or Composite Power for a Set of SEM Parameters |
| ss_power_contrast | Sample Size and Statistical Power for a Contrast in a Fixed-Effects ANOVA |
| ss_power_c_ancova | Sample Size or Power for an Unstandardized Contrast in a One-Way ANCOVA |
| ss_power_equivalence_c | Sample Size for Equivalence or Noninferiority of a Linear Contrast |
| ss_power_factorial_ancova | Sample Size Planning for Power in Factorial ANCOVA |
| ss_power_factorial_anova | Sample Size or Power for a Factorial Between-Subjects ANOVA Effect |
| ss_power_indirect_effect | Sample Size Planning for Power for the Indirect (Mediation) Effect |
| ss_power_mixed_effects | Sample Size or Power for a Treatment Effect in a Two-Level Mixed-Effects Model |
| ss_power_one_way_anova | Sample Size or Power for a One-Way Between-Subjects ANOVA Omnibus _F_ Test |
| ss_power_pcm | Sample Size Planning for Power for Polynomial Change Models |
| ss_power_r | Sample Size or Power for a Pearson Correlation Coefficient (Fisher Z Transformation) |
| ss_power_R2 | Plan Sample Size to Make the Test of the Squared Multiple Correlation Coefficient Sufficiently Powerful |
| ss_power_R2_sensitivity | Sensitivity Analysis for Sample Size Planning to Make the Omnibus Test of R^2 Sufficiently Powerful |
| ss_power_rc | Sample Size for a Targeted Regression Coefficient |
| ss_power_reg_coef | Sample Size for a Targeted Regression Coefficient |
| ss_power_reg_coef_sensitivity | Sensitivity Analysis for the Power of a Targeted Regression Coefficient |
| ss_power_rm_anova | Sample Size or Power for a One-Way Repeated Measures ANOVA Omnibus _F_ Test |
| ss_power_sc | Sample Size or Power for a Standardized Contrast in a One-Way Between-Subjects ANOVA |
| ss_power_sem | Sample Size Planning for Structural Equation Modeling From the Power Analysis Perspective |
| ss_power_smd | Sample Size or Power for a Standardized Mean Difference (Two Independent Groups) |
| ss_power_split_plot_anova | Sample Size or Power for a Mixed-Effects ANOVA (Between X Within Design) |
| ss_seq_c | Sequential Sample Size for a Fixed-Width Contrast Interval |
| ss_seq_c_sensitivity | Monte Carlo Sensitivity of the Sequential Fixed-Width Procedure |
| summary_t_test | Two-Sample _t_ Test From Summary Statistics |
| summary_t_test_broom | Broom-Style Tidy / Glance Methods for 'summary_t_test()' |
-- T --
| teacher_expectancy | Teacher Expectancy Meta-Analysis Data (Raudenbush, 1984) |
| test_market | Controlled Test-Market Experiment (Bryant & Bruvold, 1980) |
| tidy.dmar_cfa_k | Tidy a Multiple-Factor CFA Fit |
| tidy.dmar_ci_anova | Tidy and Glance Methods for DMAR Result Tables |
| tidy.dmar_ci_long | Tidy and Glance Methods for DMAR Result Tables |
| tidy.dmar_ci_R2 | Tidy / Glance Methods for ci_R2 Output |
| tidy.dmar_ci_smd | Tidy / Glance Methods for ci_smd Output |
| tidy.dmar_content_validity | Tidy and Glance Methods for DMAR Result Tables |
| tidy.dmar_contrast_test | Tidy and Glance Methods for DMAR Result Tables |
| tidy.dmar_dmacs | Tidy and Glance Methods for DMAR Result Tables |
| tidy.dmar_measurement_alignment | Tidy and Glance Methods for DMAR Result Tables |
| tidy.dmar_measurement_invariance | Tidy and Glance Methods for DMAR Result Tables |
| tidy.dmar_mediation_mbco | Tidy an MBCO Mediation Table |
| tidy.dmar_post_hoc_ci | Tidy and Glance Methods for DMAR Result Tables |
| tidy.dmar_R2_mixed_effects | Tidy / Glance Methods for R2_mixed_effects Output |
| tidy.dmar_reliability | A Reliability Coefficient Estimate |
| tidy.dmar_ss_aipe | Tidy and Glance Methods for DMAR Result Tables |
| tidy.dmar_ss_power | Tidy and Glance Methods for DMAR Result Tables |
| tidy.dmar_ss_power_sensitivity | Tidy and Glance Methods for DMAR Result Tables |
| tidy.dmar_summary_t_test | Broom-Style Tidy / Glance Methods for 'summary_t_test()' |
| tidy.dmar_tbl | Tidy and Glance Methods for DMAR Result Tables |
| tidy.dmar_welch_t | Broom-Style Tidy / Glance Methods for 'welch_t()' |
| tidy.mlmr | An Mlmr Fit |
| tidy.mlmr_mv | A Multivariate FIML Regression Fit |
-- U --
| unbiased_R2 | Unbiased and Adjusted Estimators of the Population Squared Multiple Correlation |
-- V --
| vargha_delaney_A | Vargha and Delaney's _A_ (Stochastic-Superiority Effect Size) |
| variance_components_mls | Modified-Large-Sample Confidence Intervals on Variance Components |
| var_alpha | Asymptotic Variance of Coefficient Alpha (Cronbach, Guttman) |
| var_cv | Asymptotic Variance of the Coefficient of Variation |
| var_ete | Variance of the Estimated Treatment Effect in Two-Group ANCOVA With Heterogeneous Slopes |
| var_icc | Asymptotic Variance of the Intraclass Correlation Coefficient |
| var_indirect_effect | Variance of the Mediated (Indirect) Effect ab |
| var_omega_squared | Asymptotic Variance of Omega Squared (ANOVA Effect Size) |
| var_partial_r | Asymptotic Variance of the Partial Correlation Coefficient |
| var_r | Asymptotic Variance of the Pearson Correlation Coefficient |
| var_R2 | Variance of the Squared Multiple Correlation Coefficient |
| var_semipartial_r | Asymptotic Variance of the Semipartial (Part) Correlation Coefficient |
| var_smd | Variance of Cohen's _d_ and Hedges' _g_ |
| var_smd_trimmed | Asymptotic Variance of the Robust Trimmed SMD |
-- W --
| welch_t | Welch's Separate-Variance _t_ Test |
| welch_t_broom | Broom-Style Tidy / Glance Methods for 'welch_t()' |