fastglm: predict.fastglm – R documentation

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predict.fastglm

Obtains predictions and optionally estimates standard errors of those predictions from a fitted generalized linear model object.

Obtains predictions and optionally estimates standard errors of those predictions from a fitted generalized linear model object.

## S3 method for class 'fastglm'
predict(object, newdata = NULL, type = c("link",
  "response"), se.fit = FALSE, dispersion = NULL, ...)

`object`	a fitted object of class inheriting from "`fastglm`".
`newdata`	a matrix to be used for prediction
`type`	the type of prediction required. The default is on the scale of the linear predictors; the alternative "`response`" is on the scale of the response variable. Thus for a default binomial model the default predictions are of log-odds (probabilities on logit scale) and `type = "response"` gives the predicted probabilities. The "`terms`" option returns a matrix giving the fitted values of each term in the model formula on the linear predictor scale. The value of this argument can be abbreviated.
`se.fit`	logical switch indicating if standard errors are required.
`dispersion`	the dispersion of the GLM fit to be assumed in computing the standard errors. If omitted, that returned by `summary` applied to the object is used.
`...`	further arguments passed to or from other methods.

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

v0.0.1

GPL (>= 2)

Authors

Jared Huling [aut, cre], Douglas Bates [cph], Dirk Eddelbuettel [cph], Romain Francois [cph], Yixuan Qiu [cph]

Initial release