Package index • fastglm

All functions
`%%`(<big.matrix>,<vector>) `%%`(<vector>,<big.matrix>)	big.matrix prod
`estfun.fastglm()` `estfun.fastglmFit()` `bread.fastglm()` `bread.fastglmFit()`	Empirical estimating-function and bread methods for `fastglm` objects
`fastglm()`	Fast generalized linear model fitting
`fastglmPure()`	Fast generalized linear model fitting
`fastglm_fit()` `fastglm_control()` `vcov(<fastglmFit>)` `summary(<fastglmFit>)`	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
`vcov(<fastglm>)`	`vcov()` method for `fastglm` fitted objects
`vcovHC.fastglm()` `vcovHC.fastglmFit()`	Heteroskedasticity-consistent (HC) variance estimators for `fastglm` objects

Reference