%*%,big.matrix,vector-method
                        big.matrix prod
confint.fastglm         Confidence intervals for GLM coefficients
fastglm                 Fast generalized linear model fitting
fastglm-confint-methods
                        Display profile confidence intervals
fastglm-diagnostics-methods
                        Display and extract numerical diagnostics
fastglm-prediction-methods
                        Display and extract predictions with standard
                        errors
fastglm-sandwich        Empirical estimating-function and bread methods
                        for 'fastglm' objects
fastglm-test-methods    Display and extract hypothesis tests
fastglm-tidy            Tidy summaries for fastglm models
fastglm.formula         Fit a generalized linear model from a formula
fastglmPure             Fast generalized linear model fitting
fastglm_average         Average predictions and contrasts with
                        delta-method uncertainty
fastglm_batch           Fit multiple responses using a prepared design
fastglm_bootstrap       Refit bootstrap uncertainty for GLMs, count
                        models, and ordinal models
fastglm_confint_theta   Profile-likelihood interval for
                        negative-binomial size
fastglm_diagnostics     Numerical diagnostics for a fitted GLM
fastglm_fit             Fast generalized linear model fitting
fastglm_hurdle          Hurdle (two-part) Poisson / Negative-Binomial
                        regression
fastglm_marginal_effects
                        Average marginal effects for ordinal
                        probabilities
fastglm_nb              Fit a negative-binomial GLM with simultaneous
                        (beta, theta) MLE
fastglm_ordinal.fastglm_ordinal_design
                        Fit a cumulative-link model for ordered
                        outcomes
fastglm_ordinal_assess
                        Assess ordinal prediction and the common-slope
                        assumption
fastglm_ordinal_batch   Fit several ordinal responses using shared
                        predictors
fastglm_ordinal_prepare
                        Prepare predictors for repeated ordinal fits
fastglm_ordinal_streaming
                        Fit an ordinal model from repeatable blocks of
                        observations
fastglm_po_test         Test common slopes in a cumulative-link model
fastglm_prepare         Prepare a reusable design for repeated GLM fits
fastglm_profile_test    Profile likelihood inference
fastglm_score_test      Score tests for ordinal model terms and
                        coefficient contrasts
fastglm_source          Read a large dataset in repeatable blocks of
                        rows
fastglm_source_arrow    Create a source from Parquet partitions
fastglm_source_dbi      Create a source from indexed database queries
fastglm_streaming       Fit a GLM by reading blocks of observations as
                        needed
fastglm_truncated       Zero-truncated count regression
fastglm_twopart         Two-part regression for nonnegative continuous
                        outcomes
fastglm_vcov            Robust covariance with bounded design memory
fastglm_wald_test       Joint Wald tests for model terms and
                        coefficient contrasts
fastglm_zi              Zero-inflated Poisson / Negative-Binomial
                        regression
negbin                  Negative binomial family with known dispersion
ordinal-partial-methods
                        Methods for ordinal models with
                        threshold-specific slopes
predict.fastglm         Obtains predictions and optionally estimates
                        standard errors of those predictions from a
                        fitted generalized linear model object.
predict.fastglm_hurdle
                        Predictions and inference for two-component
                        models
predict.fastglm_ordinal
                        Predict ordinal probabilities or outcome
                        categories
predict.fastglm_ordinal_stream
                        Predictions and residuals from an ordinal
                        source fit
predict.fastglm_stream
                        Stream predictions or diagnostics to a callback
residuals.fastglm_ordinal
                        Probability-based residuals for ordinal models
simulate.fastglm_ordinal
                        Simulate categorical responses from an ordinal
                        fit
summary.fastglm         'summary()' method for 'fastglm' fitted objects
tidy.fastglm_ordinal    Tidy summaries of ordinal fits
update.fastglm_ordinal
                        Methods for cumulative-link ordinal fits
vcov.fastglm            'vcov()' method for 'fastglm' fitted objects
vcovHC.fastglm          Heteroskedasticity-consistent (HC) variance
                        estimators for 'fastglm' objects
