Last data update: 2014.03.03

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mgcv : Mixed GAM Computation Vehicle with GCV/AIC/REML Smoothness Estimation

Package: mgcv
Version: 1.8-12
Author: Simon Wood <simon.wood@r-project.org>
Maintainer: Simon Wood <simon.wood@r-project.org>
Title: Mixed GAM Computation Vehicle with GCV/AIC/REML Smoothness
Estimation
Description: 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.
Priority: recommended
Depends: R (>= 2.14.0), nlme (>= 3.1-64)
Imports: methods, stats, graphics, Matrix
Suggests: splines, parallel, survival, MASS
LazyLoad: yes
ByteCompile: yes
License: GPL (>= 2)
NeedsCompilation: yes
Packaged: 2016-03-02 18:21:25 UTC; sw283
Repository: CRAN
Date/Publication: 2016-03-03 07:57:37

● Data Source: CranContrib
● Cran Task View: Bayesian, Econometrics
● 0 images, 121 functions, 0 datasets
Reverse Depends: 39

mgcv : Mixed GAM Computation Vehicle with GCV/AIC/REML Smoothness Estimation

Package: mgcv
Version: 1.8-12
Author: Simon Wood <simon.wood@r-project.org>
Maintainer: Simon Wood <simon.wood@r-project.org>
Title: Mixed GAM Computation Vehicle with GCV/AIC/REML Smoothness
Estimation
Description: 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.
Priority: recommended
Depends: R (>= 2.14.0), nlme (>= 3.1-64)
Imports: methods, stats, graphics, Matrix
Suggests: splines, parallel, survival, MASS
LazyLoad: yes
ByteCompile: yes
License: GPL (>= 2)
NeedsCompilation: yes
Packaged: 2016-03-02 18:21:25 UTC; sw283
Repository: CRAN
Date/Publication: 2016-03-03 07:57:37
Built: R 3.3.1; x86_64-pc-linux-gnu; 2016-06-29 05:23:49 UTC; unix

● Data Source: ● 0 images, 0 functions, 0 datasets
● Reverse Depends: 0