rstanarm: predict.stanreg – R documentation

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predict.stanreg

Predict method for stanreg objects

Description

This method is primarily intended to be used only for models fit using optimization. For models fit using MCMC or one of the variational approximations, see posterior_predict.

Usage

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

Arguments

`object`	A fitted model object returned by one of the rstanarm modeling functions. See `stanreg-objects`.
`...`	Ignored.
`newdata`	Optionally, a data frame in which to look for variables with which to predict. If omitted, the model matrix is used.
`type`	The type of prediction. The default `'link'` is on the scale of the linear predictors; the alternative `'response'` is on the scale of the response variable.
`se.fit`	A logical scalar indicating if standard errors should be returned. The default is `FALSE`.

Value

A vector if se.fit is FALSE and a list if se.fit is TRUE.

Jonah Gabry [aut], Imad Ali [ctb], Sam Brilleman [ctb], Jacqueline Buros Novik [ctb] (R/stan_jm.R), AstraZeneca [ctb] (R/stan_jm.R), Trustees of Columbia University [cph], Simon Wood [cph] (R/stan_gamm4.R), R Core Deveopment Team [cph] (R/stan_aov.R), Douglas Bates [cph] (R/pp_data.R), Martin Maechler [cph] (R/pp_data.R), Ben Bolker [cph] (R/pp_data.R), Steve Walker [cph] (R/pp_data.R), Brian Ripley [cph] (R/stan_aov.R, R/stan_polr.R), William Venables [cph] (R/stan_polr.R), Paul-Christian Burkner [cph] (R/misc.R), Ben Goodrich [cre, aut]

Initial release

2020-07-20

predict.stanreg

Description

Usage

Arguments

Value

See Also

rstanarm

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