Fast and Stable Fitting of Generalized Linear Models using 'RcppEigen'

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Documentation for package ‘fastglm’ version 0.1.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

%*%-method	big.matrix prod
bread.fastglm	Empirical estimating-function and bread methods for 'fastglm' objects
bread.fastglmFit	Empirical estimating-function and bread methods for 'fastglm' objects
estfun.fastglm	Empirical estimating-function and bread methods for 'fastglm' objects
estfun.fastglmFit	Empirical estimating-function and bread methods for 'fastglm' objects
fastglm	Fast generalized linear model fitting
fastglm-sandwich	Empirical estimating-function and bread methods for 'fastglm' objects
fastglm.default	Fast generalized linear model fitting
fastglmPure	Fast generalized linear model fitting
fastglm_control	Fast generalized linear model fitting
fastglm_fit	Fast generalized linear model fitting
fastglm_hurdle	Hurdle (two-part) Poisson / Negative-Binomial regression
fastglm_nb	Fit a negative-binomial GLM with simultaneous (beta, theta) MLE
fastglm_streaming	Fit a GLM by streaming row-blocks of the design matrix
fastglm_zi	Zero-inflated Poisson / Negative-Binomial regression
negbin	Negative binomial family with known dispersion
predict.fastglm	Obtains predictions and optionally estimates standard errors of those predictions from a fitted generalized linear model object.
summary.fastglm	'summary()' method for 'fastglm' fitted objects
summary.fastglmFit	Fast generalized linear model fitting
vcov.fastglm	'vcov()' method for 'fastglm' fitted objects
vcov.fastglmFit	Fast generalized linear model fitting
vcovHC.fastglm	Heteroskedasticity-consistent (HC) variance estimators for 'fastglm' objects
vcovHC.fastglmFit	Heteroskedasticity-consistent (HC) variance estimators for 'fastglm' objects