mgcv: Mixed GAM Computation Vehicle with GCV/AIC/REML smoothness estimation

Simon Wood

mgcv: Mixed GAM Computation Vehicle with GCV/AIC/REML smoothness estimation

Simon Wood

Department of Mathematical Sciences

Research output: Other contribution

Abstract

R package for GAMs and other generalized ridge regression with multiple smoothing parameter selection by GCV, REML or UBRE/AIC. Also GAMMs. Includes a gam() function. A recommended package supplied with the R statistical language and environment.

Original language	English
Type	Generalized additive modelling software
Publication status	Published - 15 Oct 2012

Cite this

@misc{b0a79b07f02b45298058da2616998b29,

title = "mgcv: Mixed GAM Computation Vehicle with GCV/AIC/REML smoothness estimation",

abstract = "R package for GAMs and other generalized ridge regression with multiple smoothing parameter selection by GCV, REML or UBRE/AIC. Also GAMMs. Includes a gam() function. A recommended package supplied with the R statistical language and environment. ",

author = "Simon Wood",

year = "2012",

month = oct,

day = "15",

language = "English",

type = "Other",

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TY - GEN

T1 - mgcv

T2 - Mixed GAM Computation Vehicle with GCV/AIC/REML smoothness estimation

AU - Wood, Simon

PY - 2012/10/15

Y1 - 2012/10/15

N2 - R package for GAMs and other generalized ridge regression with multiple smoothing parameter selection by GCV, REML or UBRE/AIC. Also GAMMs. Includes a gam() function. A recommended package supplied with the R statistical language and environment.

AB - R package for GAMs and other generalized ridge regression with multiple smoothing parameter selection by GCV, REML or UBRE/AIC. Also GAMMs. Includes a gam() function. A recommended package supplied with the R statistical language and environment.

UR - http://cran.r-project.org/web/packages/mgcv/index.html

M3 - Other contribution

ER -

mgcv: Mixed GAM Computation Vehicle with GCV/AIC/REML smoothness estimation

Abstract

Other files and links

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Fellowship - Sparse, Rank-Reduced and General Smooth Modelling

Cite this

mgcv: Mixed GAM Computation Vehicle with GCV/AIC/REML smoothness estimation

Abstract

Other files and links

Fingerprint

Projects

Fellowship - Sparse, Rank-Reduced and General Smooth Modelling

Cite this