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.

nlme (>= 3.1-64), splines, Matrix, parallel

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

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

Mixed GAM Computation Vehicle with GCV/AIC/REML Smoothness
Estimation
GAMs, GAMMs and other generalized ridge regression with
multiple smoothing parameter estimation by GCV, REML or UBRE/AIC.
Includes a gam() function, a wide variety of smoothers, JAGS
support and distributions beyond the exponential family.

Mixed GAM Computation Vehicle with Automatic Smoothness
Estimation
Generalized additive (mixed) models, some of their extensions and
other generalized ridge regression with multiple smoothing
parameter estimation by (REstricted) Marginal Likelihood,
Generalized Cross Validation and similar. Includes a gam()
function, a wide variety of smoothers, JAGS support and
distributions beyond the exponential family.

Generalized additive (mixed) models, some of their extensions and
other generalized ridge regression with multiple smoothing
parameter estimation by (Restricted) Marginal Likelihood,
Generalized Cross Validation and similar. Includes a gam()
function, a wide variety of smoothers, JAGS support and
distributions beyond the exponential family.

Generalized additive (mixed) models, some of their extensions and
other generalized ridge regression with multiple smoothing
parameter estimation by (Restricted) Marginal Likelihood,
Generalized Cross Validation and similar, or using iterated
nested Laplace approximation for fully Bayesian inference. See
Wood (2017) <doi:10.1201/9781315370279> for an overview.
Includes a gam() function, a wide variety of smoothers, 'JAGS'
support and distributions beyond the exponential family.
methods, stats, graphics, Matrix, splines, utils