mgcv: Model module: mgcv

Description Usage Arguments Version Date submitted Data type Author(s) See Also

Description

Model module to fit a generalized additive model using generalized crossvalidation via the mgcv R package.

Usage

1
mgcv(.df, k = -1, bs = "tp")

Arguments

.df

Internal parameter, do not use in the workflow function. .df is data frame that combines the occurrence

k

the dimension of the basis used to represent the smooth term. The default depends on the number of variables that the smooth is a function of. k should not be less than the dimension of the null space of the penalty for the term (see mgcv::null.space.dimension), but will be reset if it is. See mgcv::choose.k for further information

bs

a two letter character string indicating the (penalized) smoothing basis to use. (eg "tp" for thin plate regression spline, "cr" for cubic regression spline). See mgcv::smooth.terms for an overview of what is available.

Version

1.0

Date submitted

2015-11-13

Data type

presence/absence

Author(s)

ZOON Developers, zoonproject@gmail.com

See Also

Other model: BiomodModel, Domain, GBM, LogisticRegression, MachineLearn, MaxEnt, MaxLike, MaxNet, MyMaxLike, NullModel, OptGRaF, QuickGRaF, RandomForest, StochasticLogisticRegression


zoonproject/modules documentation built on May 4, 2019, 11:25 p.m.