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Predict.matrix.pcre.random.effect

mgcv-style constructor for prediction of PC-basis functional random effects

Description

mgcv-style constructor for prediction of PC-basis functional random effects

Usage

## S3 method for class 'pcre.random.effect'
Predict.matrix(object, data)

Arguments

object

a smooth specification object, see smooth.construct
data

see smooth.construct

Value

design matrix for PC-based functional random effects

Author(s)

Fabian Scheipl; adapted from 'Predict.matrix.random.effect' by S.N. Wood.

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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

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