28 lines
1.2 KiB
Plaintext
28 lines
1.2 KiB
Plaintext
Package: mgcv
|
|
Version: 1.9-1
|
|
Author: Simon Wood <simon.wood@r-project.org>
|
|
Maintainer: Simon Wood <simon.wood@r-project.org>
|
|
Title: Mixed GAM Computation Vehicle with Automatic Smoothness
|
|
Estimation
|
|
Description: 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.
|
|
Priority: recommended
|
|
Depends: R (>= 3.6.0), nlme (>= 3.1-64)
|
|
Imports: methods, stats, graphics, Matrix, splines, utils
|
|
Suggests: parallel, survival, MASS
|
|
LazyLoad: yes
|
|
ByteCompile: yes
|
|
License: GPL (>= 2)
|
|
NeedsCompilation: yes
|
|
Packaged: 2023-12-20 10:39:06 UTC; sw283
|
|
Repository: CRAN
|
|
Date/Publication: 2023-12-21 00:30:02 UTC
|
|
Built: R 4.4.2; x86_64-w64-mingw32; 2024-10-31 16:58:42 UTC; windows
|
|
Archs: x64
|