knitr, rmarkdown, testthat, MASS, webshot2

rgl, knitr, rmarkdown, testthat, MASS, webshot2

Multiple smoothing parameter estimation and GAMs by GCV
Routines for multiple smoothing parameter selection by GCV or UBRE for
generalized ridge regression problems (e.g. GAMs) with multiple smoothing parameters.
Includes an implementation of gam().

Routines for GAMs and other genralized ridge regression problems
with multiple smoothing parameter selection by GCV or UBRE.
Includes an implementation of gam().

Routines for GAMs and other generalized ridge regression problems
with multiple smoothing parameter selection by GCV or UBRE.
Includes an implementation of gam().

Simon Wood <snw@mcs.st-and.ac.uk>
Mike Lonergan <mel@mcs.st-and.ac.uk>
[mel: persp.gam() and negative binomial; snw: rest]
Routines for GAMs and other generalized ridge regression problems
with multiple smoothing parameter selection by GCV or UBRE.
Includes an implementation (not a clone) of gam().

Simon Wood <snw@mcs.st-and.ac.uk> and
Mike Lonergan <mel@mcs.st-and.ac.uk>
[mel: persp.gam() and negative binomial; snw: rest]

Simon Wood <simon@stats.gla..ac.uk> and
Mike Lonergan <mel@mcs.st-and.ac.uk>
[mel: persp.gam() and negative binomial; snw: rest]

Routines for GAMs, GAMMs and other generalized ridge regression
with multiple smoothing parameter selection by GCV or UBRE.
Includes an implementation (not a clone) of gam().

Routines for GAMs and other generalized ridge regression
with multiple smoothing parameter selection by GCV or UBRE.
Also GAMMs by REML or PQL. Includes a gam() function.

GAMs with GCV smoothness estimation and GAMMs by REML/PQL

Routines for GAMs and other generalized ridge regression
with multiple smoothing parameter selection by GCV or
UBRE/AIC. Also GAMMs by REML or PQL. Includes a gam()
function.

GAMs with GCV/AIC/REML smoothness estimation and GAMMs by PQL
Routines for GAMs and other generalized ridge regression
with multiple smoothing parameter selection by GCV, REML
or UBRE/AIC. Also GAMMs by REML or PQL. Includes a gam()
function.