SmoothingparametersarechosentominimizetheGCVUBRE/AIC,GACVorREMLscoresforthemodel,andthemaincomputationalchallengesolvedbythemgcvpackageistodothisefficientlyandreliably.Variousalternativenumericalmethods 39、areprovidedwhichcanbesetbyargumentoptimizer平滑化参数的选择,以尽量减少GCV,UBRE/AIC,GACV或模型REML分数,和求解...
主要参考:CRAN - Package lme4 LME4 Tutorial: Popularity Data - Rens van de Schoot Generalised Li...
Woods S. The mgcv package. Version 1.4–1. 2008. pp. 17–24. Available from: http://www.R-project.org [cited 21 October 2009].Wood, S. (2008). The mgcv Package (Version 1.3-31). http://cran.r-project.org/web/packages/ mgcv/mgcv.pdf. Assessed May 22, 2008....
See gam from package gam, for GAMs via the original Hastie and Tibshirani approach (see details for differences to this implementation). 见 GAM 包 gam,GAMS 通过原来的 Hastie 和 Tibshirani 方法(详情请参阅本实施方案的差 异)。 For very large datasets see bam, for mixed GAM see gamm and ...
I have a non-linear survival model which I have coded using the mgcv package. I can produce a regular plot, but I would like to be able to do code a ggplot2 instead. How do I go about this? Here is my code: df <- structure(list(SurvYear =c(3L, 2L, 3L, 6L, 8L, 3L, 5L...
See gam from package gam, for GAMs via the original Hastie and Tibshirani approach (see details for differences to this implementation). 见GAM包gam,GAMS通过原来的Hastie和Tibshirani方法(详情请参阅本实施方案的差异)。 For very large datasets see bam, for mixed GAM see gamm and random.effects. 对...
The mgcv Package x an array of G$n element arrays of data and (optionally) design matrix columns. The first G$nsdf elements of G$x should contain the elements of the columns of the design matrix corresponding to the parametric part of the model. The rema......
This is mgcv 1.8-34. For overview type 'help("mgcv-package")'. > ## See help("mgcv-parallel") for using bam in parallel > > ## Sample sizes are small for fast run times. > > set.seed(3) > dat <- gamSim(1,n=25000,dist="normal",scale=20) ...
:exclamation: This is a read-only mirror of the CRAN R package repository. mgcv — Mixed GAM Computation Vehicle with Automatic Smoothness Estimation - mgcv/R/mgcv.r at master · cran/mgcv
HI everyone, I have been a little frustrated with the fact that JMP still does not have a GAM modeling platform (even if it exists in SAS for many years) so I decided to create an add-in that is based on the mgcv package in R. So to run this add-in you will need to...