| basecumhaz |
Plotting the baselines of stratified Cox |
| baseplot |
Plotting the baselines of stratified Cox |
| bicomprisk |
Estimation of Concordance in Bivariate Competing Risks Data |
| bicompriskData |
Estimation of Concordance in Bivariate Competing Risks Data |
| binomial_twostage |
Fits Clayton-Oakes or bivariate Plackett (OR) models for binary data using marginals that are on logistic form. If clusters contain more than two times, the algoritm uses a compososite likelihood based on all pairwise bivariate models. |
| binomial_twostage_time |
Fits Clayton-Oakes or bivariate Plackett (OR) models for binary data using marginals that are on logistic form. If clusters contain more than two times, the algoritm uses a compososite likelihood based on all pairwise bivariate models. |
| binreg |
Binomial Regression for Censored Competing Risks Data |
| binregATE |
Average Treatment Effect for Censored Competing Risks Data using Binomial Regression |
| binregCasewise |
Estimate Casewise Concordance Using Binomial Regression |
| binregG |
G-Estimator for Binomial Regression Model (Standardized Estimates) |
| binregRatio |
Percentage of Years Lost Due to a Cause Regression |
| binregt |
Binomial Regression for Censored Competing Risks Data |
| binregTSR |
Two-Stage Randomization for Survival or Competing Risks Data |
| biprobit |
Bivariate Probit model |
| biprobit.time |
Bivariate Probit model |
| biprobit.vector |
Bivariate Probit model |
| blocksample |
Block sampling |
| bmt |
The Bone Marrow Transplant Data |
| BootmediatorSurv |
Mediation analysis in survival context |
| bplot |
Plotting the baselines of stratified Cox |
| bptwin |
Liability model for twin data |
| bptwin.time |
Liability model for twin data |
| calgb8923 |
CALGB 8923, twostage randomization SMART design |
| casewise |
Estimate Casewise Concordance from prodlim Objects |
| casewise_bin |
Casewise Concordance from Concordant/Discordant Counts |
| cif |
Cumulative Incidence with Robust Standard Errors |
| cif-nonpar |
Non-parametric Cumulative Incidence Functions |
| cifreg |
Cumulative Incidence Function (CIF) Regression |
| cifregFG |
Fine-Gray Cumulative Incidence Function Regression |
| cif_yearslost |
Restricted Mean Time Lost for Competing Risks |
| ClaytonOakes |
Clayton-Oakes model with piece-wise constant hazards |
| cluster.index |
Finds subjects related to same cluster |
| cluster_index |
Finds subjects related to same cluster |
| coarse_clust |
Coarsen Cluster Identifiers |
| concordance.cor |
Concordance Computes concordance and casewise concordance |
| concordanceCor |
Concordance Computes concordance and casewise concordance |
| concordanceTwinACE |
Concordance Probability from Twostage Model |
| concordanceTwostage |
Concordance Probability from Twostage Model |
| conftype |
Robust Baseline Hazard Standard Errors |
| cor_cif |
Cross-odds-ratio, OR or RR risk regression for competing risks |
| countID |
Finds subjects related to same cluster |
| count_history |
Compute cumulative event counts as time-dependent covariates |
| CPH_HPN_CRBSI |
Rates for HPN program for patients of Copenhagen Cohort |
| cpred |
Fast approximation |
| cumContr |
Goodness-of-Fit for Cox Covariates (Linearity) |
| cumoddsreg |
Cumulative Odds Regression for Discrete Time Data |
| cumsumstrata |
Stratified Cumulative and Summary Operations |
| daggr |
aggregating for for data frames |
| daggregate |
aggregating for for data frames |
| Dbvn |
Derivatives of the bivariate normal cumulative distribution function |
| dby |
Calculate summary statistics grouped by |
| dby2 |
Calculate summary statistics grouped by |
| dby2<- |
Calculate summary statistics grouped by |
| dby<- |
Calculate summary statistics grouped by |
| dbyr |
Calculate summary statistics grouped by |
| dcor |
summary, tables, and correlations for data frames |
| dcount |
summary, tables, and correlations for data frames |
| dcut |
Cutting, sorting, rm (removing), rename for data frames |
| dcut<- |
Cutting, sorting, rm (removing), rename for data frames |
| ddrop |
Cutting, sorting, rm (removing), rename for data frames |
| ddrop<- |
Cutting, sorting, rm (removing), rename for data frames |
| dermalridges |
Dermal ridges data (families) |
| dermalridgesMZ |
Dermal ridges data (monozygotic twins) |
| deval |
summary, tables, and correlations for data frames |
| deval2 |
summary, tables, and correlations for data frames |
| dfactor |
relev levels for data frames |
| dfactor<- |
relev levels for data frames |
| dhead |
list, head, print, tail |
| diabetes |
The Diabetic Retinopathy Data |
| diffstrata |
Cumulative Incidence Function (CIF) Regression |
| dInterval |
Discrete Time-to-Event Analysis with Interval Censoring |
| divide_conquer |
Split a data set and run function |
| dkeep |
Cutting, sorting, rm (removing), rename for data frames |
| dkeep<- |
Cutting, sorting, rm (removing), rename for data frames |
| dlag |
Lag operator |
| dlag<- |
Lag operator |
| dlev |
relev levels for data frames |
| dlev<- |
relev levels for data frames |
| dlevel |
relev levels for data frames |
| dlevel<- |
relev levels for data frames |
| dlevels |
relev levels for data frames |
| dlist |
list, head, print, tail |
| dmean |
summary, tables, and correlations for data frames |
| dmeansd |
summary, tables, and correlations for data frames |
| dmvn |
Multivariate normal distribution function |
| dnames |
Cutting, sorting, rm (removing), rename for data frames |
| dnames<- |
Cutting, sorting, rm (removing), rename for data frames |
| dnumeric |
relev levels for data frames |
| dnumeric<- |
relev levels for data frames |
| dprint |
list, head, print, tail |
| dquantile |
summary, tables, and correlations for data frames |
| dreg |
Regression for data frames with dutility call |
| drelev |
relev levels for data frames |
| drelev<- |
relev levels for data frames |
| drelevel |
relev levels for data frames |
| drelevel<- |
relev levels for data frames |
| drename |
Cutting, sorting, rm (removing), rename for data frames |
| drename<- |
Cutting, sorting, rm (removing), rename for data frames |
| dreshape |
Fast reshape |
| drm |
Cutting, sorting, rm (removing), rename for data frames |
| drm<- |
Cutting, sorting, rm (removing), rename for data frames |
| drop.specials |
Remove Special Terms from a Formula |
| dsample |
Block sampling |
| dscalar |
summary, tables, and correlations for data frames |
| dsd |
summary, tables, and correlations for data frames |
| dsort |
Sort data frame |
| dsort2 |
Sort data frame |
| dsort<- |
Sort data frame |
| dspline |
Simple linear spline |
| dspline<- |
Simple linear spline |
| dstr |
summary, tables, and correlations for data frames |
| dsubset |
summary, tables, and correlations for data frames |
| dsum |
summary, tables, and correlations for data frames |
| dsummary |
summary, tables, and correlations for data frames |
| dtab |
tables for data frames |
| dtable |
tables for data frames |
| dtail |
list, head, print, tail |
| dtrans |
Transform that allows condition |
| dtrans<- |
Transform that allows condition |
| dtransform |
Transform that allows condition |
| dtransform<- |
Transform that allows condition |
| dunique |
Cutting, sorting, rm (removing), rename for data frames |
| random.cif |
Non-parametric Cumulative Incidence Functions |
| randomDes |
Twostage Survival Model for Multivariate Survival Data |
| random_cif |
Random effects model for competing risks data |
| ratioATE |
Ratio of Average Treatment Effects |
| rbind.Event |
Event history object |
| rchaz |
Simulation of Piecewise Constant Hazard Model (Cox) |
| rchazl |
Multiple Cause Piecewise Constant Hazard Simulation |
| rcrisk |
Simulation of Piecewise constant hazard models with two causes (Cox). |
| readmargsurv |
Twostage Survival Model for Multivariate Survival Data |
| recreg |
Recurrent Events Regression with Terminal Event |
| recregIPCW |
IPCW Estimator for Recurrent Events |
| recurrentMarginal |
Marginal mean estimation for recurrent events with a terminal event |
| recurrentMarginalPhreg |
Marginal mean estimation for recurrent events with a terminal event |
| recurrent_marginal |
Marginal mean estimation for recurrent events with a terminal event |
| recurrent_marginalAIPCW |
Marginal mean estimation for recurrent events with a terminal event |
| resmeanATE |
Average Treatment Effect for Restricted Mean Time |
| resmeanIPCW |
Restricted IPCW Mean for Censored Survival Data |
| resmean_phreg |
Restricted Mean for Stratified Kaplan-Meier or Cox Model |
| revcumsum |
Stratified Cumulative and Summary Operations |
| revcumsumstrata |
Stratified Cumulative and Summary Operations |
| rmstATE |
Average Treatment Effect for Restricted Mean Time |
| rmstIPCW |
Restricted IPCW Mean for Censored Survival Data |
| rmst_phreg |
Restricted Mean for Stratified Kaplan-Meier or Cox Model |
| rmtlRatio |
Percentage of Years Lost Due to a Cause Regression |
| rmvn |
Multivariate normal distribution function |
| robust.basehaz.phreg |
Robust Baseline Hazard Standard Errors |
| robust_phreg |
Fast Cox Proportional Hazards Regression |
| rr.cif |
Cross-odds-ratio, OR or RR risk regression for competing risks |
| rr_cif |
Non-parametric Cumulative Incidence Functions |
| rweibullcox |
Simulate observations from a Weibull distribution |
| scalecumhaz |
Recurrent Events Regression with Terminal Event |
| scoreMVN |
Multivariate normal distribution function |
| sim_cif |
Simulation of Output from Cumulative Incidence Regression Model |
| sim_cifs |
Simulation of Output from Cumulative Incidence Regression Model |
| sim_ClaytonOakes |
Simulate from the Clayton-Oakes frailty model |
| sim_ClaytonOakesLam |
Simulate from the Clayton-Oakes frailty model |
| sim_ClaytonOakesWei |
Simulate from the Clayton-Oakes frailty model |
| sim_GLcox |
Simulation of Two-Stage Recurrent Events Data |
| sim_multistate |
Simulation of Illness-Death Model |
| sim_multistateII |
Illness-Death Competing Risks with Two Causes of Death |
| sim_phreg |
Simulation of Output from Cox Model |
| sim_phregs |
Simulation of Cause-Specific Cox Models |
| sim_rchaz |
Simulation of Piecewise Constant Hazard Model (Cox) |
| sim_recurrent |
Simulate recurrent events with a single event type and a terminal event |
| sim_recurrentII |
Simulate recurrent events with two event types and a terminal event |
| sim_recurrentTS |
Simulate recurrent events from a two-stage model with structured gamma frailties |
| sim_recurrent_list |
Simulate recurrent events with two event types and a terminal event |
| sim_recurrent_ts |
Simulate recurrent events from a two-stage Cox or Ghosh-Lin model |
| sim_subdist |
Simulation of Output from Cumulative Incidence Regression Model |
| sTRACE |
The TRACE study group of myocardial infarction |
| strata-numeric |
Stratified Cumulative and Summary Operations |
| subdist |
Simulation of Output from Cumulative Incidence Regression Model |
| summary.cor |
Summary for dependence models for competing risks |
| summary.Event |
Event history object |
| summarybase.phreg |
Robust Baseline Hazard Standard Errors |
| summaryGLM |
Reporting OR (exp(coef)) from glm with binomial link and glm predictions |
| summaryTimeobject |
Summarize a Time-Varying Estimate with Confidence Bands |
| sumstrata |
Stratified Cumulative and Summary Operations |
| survival-helpers |
Survival Twostage Helpers |
| survival.twostage |
Survival Twostage Helpers |
| survivalG |
G-Estimator for Cox and Fine-Gray Models |
| survivalGtime |
G-Estimator for Cox and Fine-Gray Models |
| survival_twostage |
Twostage Survival Model for Multivariate Survival Data |
| surv_boxarea |
Bivariate Survival Data on Rectangular Regions |