refund: residuals.pffr – R documentation

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residuals.pffr

Obtain residuals and fitted values for a pffr models

Description

See predict.pffr for alternative options to extract estimated values from a pffr object. "Fitted values" here refers to the estimated additive predictor values, these will not be on the scale of the response for models with link functions.

Usage

## S3 method for class 'pffr'
residuals(object, reformat = TRUE, ...)

## S3 method for class 'pffr'
fitted(object, reformat = TRUE, ...)

Arguments

`object`	a fitted `pffr`-object
`reformat`	logical, defaults to TRUE. Should residuals be returned in `n x yindex` matrix form (regular grid data) or, respectively, in the shape of the originally supplied `ydata` argument (sparse/irregular data), or, if `FALSE`, simply as a long vector as returned by `resid.gam()`?
`...`	other arguments, passed to `residuals.gam`.

Value

A matrix or ydata-like data.frame or a vector of residuals / fitted values (see reformat-argument)

Author(s)

Fabian Scheipl

refund

Regression with Functional Data

v0.1-23

GPL (>= 2)

Authors

Jeff Goldsmith [aut], Fabian Scheipl [aut], Lei Huang [aut], Julia Wrobel [aut, cre], Chongzhi Di [aut], Jonathan Gellar [aut], Jaroslaw Harezlak [aut], Mathew W. McLean [aut], Bruce Swihart [aut], Luo Xiao [aut], Ciprian Crainiceanu [aut], Philip T. Reiss [aut], Yakuan Chen [ctb], Sonja Greven [ctb], Lan Huo [ctb], Madan Gopal Kundu [ctb], So Young Park [ctb], David L. Miller [ctb], Ana-Maria Staicu [ctb]

Initial release

2020-12-03