Package: mgcv 1.9-2

Simon Wood
mgcv: 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, 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.
Authors:
mgcv_1.9-2.tar.gz
mgcv_1.9-2.tar.gz(r-4.5-noble)mgcv_1.9-2.tar.gz(r-4.4-noble)
mgcv_1.9-2.tgz(r-4.4-emscripten)mgcv_1.9-2.tgz(r-4.3-emscripten)
mgcv.pdf |mgcv.html✨
mgcv/json (API)
# Install 'mgcv' in R: |
install.packages('mgcv', repos = 'https://cloud.r-project.org') |
- columb - Reduced version of Columbus OH crime data
- columb.polys - Reduced version of Columbus OH crime data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 hours agofrom:d2f3f6a6cc. Checks:3 OK. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Apr 02 2025 |
R-4.5-linux-x86_64 | OK | Apr 02 2025 |
R-4.4-linux-x86_64 | OK | Apr 02 2025 |
Exports:%.%anova.gambambam.updatebandcholbetarblas.thread.testcholdropcholupclogcnormconcurvitycox.phcpoiscSplineDesd.mvtdDetadiagXVXddmvndpnormexclude.too.farextract.lme.covextract.lme.cov2feasibleFFdesfix.family.linkfix.family.lsfix.family.qffix.family.rdfix.family.varfixDependenceformula.gamformXtViXfs.boundaryfs.testfull.scoregamgam.checkgam.controlgam.fitgam.fit3gam.fit5.post.procgam.mhgam.outergam.reparamgam.sidegam.vcompgam2derivativegam2objectivegamlss.etamugamlss.gHgammgammalsgamSimgaulssget.vargevlssgfamginlagumblsijXVXdin.outinfluence.gaminitial.spinSideinterpret.gamjagamk.checkldetSldTweedielogLik.gamlpls.sizemagicmagic.post.procmcholmini.rootsmodel.matrix.gammono.conmrootmultinommvnnbnegbinnew.namenotExpnotExp2notLognotLog2null.space.dimensionocatpclspdIdnotpdTenspen.edfplace.knotsplot.gampolys.plotpredict.bampredict.gamPredict.matrixPredict.matrix.Bspline.smoothPredict.matrix.cr.smoothPredict.matrix.cs.smoothPredict.matrix.cyclic.smoothPredict.matrix.duchon.splinePredict.matrix.gp.smoothPredict.matrix.mrf.smoothPredict.matrix.pspline.smoothPredict.matrix.random.effectPredict.matrix.sfPredict.matrix.soap.filmPredict.matrix.sos.smoothPredict.matrix.swPredict.matrix.t2.smoothPredict.matrix.tensor.smoothPredict.matrix.tprs.smoothPredict.matrix.ts.smoothPredict.matrix2PredictMatprint.anova.gamprint.gamprint.summary.gampsum.chisqqq.gamr.mvtresiduals.gamrigrmvnRrankrTweediesscatsdiagsdiag<-shashsim2jamSl.inirepSl.initial.reparaSl.reparaSl.setupslanczossmooth.constructsmooth.construct.ad.smooth.specsmooth.construct.bs.smooth.specsmooth.construct.cc.smooth.specsmooth.construct.cp.smooth.specsmooth.construct.cr.smooth.specsmooth.construct.cs.smooth.specsmooth.construct.ds.smooth.specsmooth.construct.gp.smooth.specsmooth.construct.mrf.smooth.specsmooth.construct.ps.smooth.specsmooth.construct.re.smooth.specsmooth.construct.sf.smooth.specsmooth.construct.so.smooth.specsmooth.construct.sos.smooth.specsmooth.construct.sw.smooth.specsmooth.construct.t2.smooth.specsmooth.construct.tensor.smooth.specsmooth.construct.tp.smooth.specsmooth.construct.ts.smooth.specsmooth.construct2smooth.infosmooth2randomsmoothConsp.vcovspasm.constructspasm.smoothspasm.spsummary.gamt2tetensor.prod.model.matrixtensor.prod.penaltiestitotalPenaltySpacetricholtrind.generatortwTweedietwlssuniquecombsvcov.gamvis.gamXbdXWXdXWydziPzipllziplss
Citation
2011 for generalized additive model method; 2016 for beyond exponential family; 2004 for strictly additive GCV based model method and basics of gamm; 2017 for overview; 2003 for thin plate regression splines.
Wood, S.N. (2011) Fast stable restricted maximum likelihood and marginal likelihood estimation of semiparametric generalized linear models. Journal of the Royal Statistical Society (B) 73(1):3-36
Wood S.N., N. Pya and B. Saefken (2016) Smoothing parameter and model selection for general smooth models (with discussion). Journal of the American Statistical Association 111:1548-1575.
Wood, S.N. (2004) Stable and efficient multiple smoothing parameter estimation for generalized additive models. Journal of the American Statistical Association. 99:673-686.
Wood, S.N. (2017) Generalized Additive Models: An Introduction with R (2nd edition). Chapman and Hall/CRC.
Wood, S.N. (2003) Thin-plate regression splines. Journal of the Royal Statistical Society (B) 65(1):95-114.
Corresponding BibTeX entries:
@Article{, title = {Fast stable restricted maximum likelihood and marginal likelihood estimation of semiparametric generalized linear models}, journal = {Journal of the Royal Statistical Society (B)}, volume = {73}, number = {1}, pages = {3--36}, year = {2011}, author = {S. N. Wood}, doi = {10.1111/j.1467-9868.2010.00749.x}, }
@Article{, title = {Smoothing parameter and model selection for general smooth models (with discussion)}, author = {S. N. Wood and N. Pya and B. S{\"a}fken}, journal = {Journal of the American Statistical Association}, year = {2016}, pages = {1548--1575}, volume = {111}, doi = {10.1080/01621459.2016.1180986}, }
@Article{, title = {Stable and efficient multiple smoothing parameter estimation for generalized additive models}, journal = {Journal of the American Statistical Association}, volume = {99}, number = {467}, pages = {673--686}, year = {2004}, author = {S. N. Wood}, doi = {10.1198/016214504000000980}, }
@Book{, title = {Generalized {A}dditive {M}odels: An Introduction with {R}}, year = {2017}, author = {S. N. Wood}, edition = {2}, publisher = {Chapman and Hall/CRC}, }
@Article{, title = {Thin-plate regression splines}, journal = {Journal of the Royal Statistical Society (B)}, volume = {65}, number = {1}, pages = {95--114}, year = {2003}, author = {S. N. Wood}, doi = {10.1111/1467-9868.00374}, }