refund: smooth.construct.pcre.smooth.spec – R documentation

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smooth.construct.pcre.smooth.spec

mgcv-style constructor for PC-basis functional random effects

Description

Sets up design matrix for functional random effects based on the PC scores of the covariance operator of the random effect process. See smooth.construct.re.smooth.spec for more details on mgcv-style smoother specification and pcre for the corresponding pffr()-formula wrapper.

Usage

## S3 method for class 'pcre.smooth.spec'
smooth.construct(object, data, knots)

Arguments

`object`	a smooth specification object, see `smooth.construct`
`data`	see `smooth.construct`
`knots`	see `smooth.construct`

Value

An object of class "random.effect". See smooth.construct for the elements that this object will contain.

Author(s)

Fabian Scheipl; adapted from 're' constructor by S.N. Wood.

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