te: mgcv constructor 'te'

In BNSP: Bayesian Non- And Semi-Parametric Model Fitting

mgcv constructor te

Description

Provides interface between mgcv::te and BNSP. te(...) calls mgcv::smoothCon(mgcv::te(...),...

Usage

te(..., data, knots = NULL, absorb.cons = FALSE, scale.penalty = TRUE, 
n = nrow(data), dataX = NULL, null.space.penalty = FALSE, sparse.cons = 0, 
diagonal.penalty = FALSE, apply.by = TRUE, modCon = 0, k = NA, bs = "cr", 
m = NA, d = NA, by = NA, fx = FALSE, np = TRUE, xt = NULL, id = NULL, 
sp = NULL, pc = NULL)

Arguments

...	a list of variables. See mgcv::te
data	see mgcv::smoothCon
knots	see mgcv::knots
absorb.cons	see mgcv::smoothCon
scale.penalty	see mgcv::smoothCon
n	see mgcv::smoothCon
dataX	see mgcv::smoothCon
null.space.penalty	see mgcv::smoothCon
sparse.cons	see mgcv::smoothCon
diagonal.penalty	see mgcv::smoothCon
apply.by	see mgcv::smoothCon
modCon	see mgcv::smoothCon
k	see mgcv::te
bs	see mgcv::te
m	see mgcv::te
d	see mgcv::te
by	see mgcv::te
fx	see mgcv::te
np	see mgcv::te
xt	see mgcv::te
id	see mgcv::te
sp	see mgcv::te
pc	see mgcv::te

Details

The most relevant arguments for BNSP users are the list of variables ..., knots, absorb.cons, bs, and by.

Value

A design matrix that specifies a smooth term in a model.

Author(s)

Georgios Papageorgiou [e-mail]

BNSP documentation built on May 31, 2023, 7:05 p.m.