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mgcv
Mixed GAM Computation Vehicle with Automatic Smoothness Estimation
View on CRAN: Click
here
Download and install mgcv package within the R console
Install from CRAN:
install.packages("mgcv")
Install from Github:
library("remotes")
install_github("cran/mgcv") Install by package version:
library("remotes")
install_version("mgcv", "1.9-1") Attach the package and use:
library("mgcv")
Maintained by
Simon Wood
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2000-10-04
Latest Update: 2023-12-21
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) for an overview.
Includes a gam() function, a wide variety of smoothers, 'JAGS'
support and distributions beyond the exponential family.
How to cite:
Simon Wood (2000). mgcv: Mixed GAM Computation Vehicle with Automatic Smoothness Estimation. R package version 1.9-1, https://cran.r-project.org/web/packages/mgcv. Accessed 21 Dec. 2024.
Previous versions and publish date:
0.1-1 (2000-10-04 17:09), 0.2-1 (2000-10-25 07:50), 0.3-1 (2000-12-08 21:33), 0.3-2 (2000-12-12 12:36), 0.4-0 (2001-01-05 16:57), 0.5-0 (2001-04-09 19:25), 0.5-1 (2001-06-25 14:18), 0.5-3 (2001-08-31 23:00), 0.6-1 (2001-12-19 17:40), 0.6-2 (2001-12-20 15:15), 0.7-0 (2002-01-16 13:52), 0.7-1 (2002-01-28 17:21), 0.7-2 (2002-03-31 08:41), 0.8-0 (2002-05-05 19:44), 0.8-1 (2002-05-17 09:32), 0.8-2 (2002-09-09 15:04), 0.8-3 (2002-09-11 14:33), 0.8-4 (2002-10-04 12:37), 0.8-5 (2002-10-22 17:18), 0.8-6 (2002-10-30 11:52), 0.8-7 (2002-11-06 09:12), 0.8-8 (2003-04-07 16:15), 0.8-9 (2003-06-15 00:16), 0.9-1 (2003-09-16 18:46), 0.9-2 (2003-09-16 20:33), 0.9-3.1 (2003-10-03 16:15), 0.9-3 (2003-09-24 19:03), 0.9-4 (2003-10-08 17:23), 0.9-5 (2003-10-19 00:23), 0.9-6 (2003-11-04 18:24), 1.0-5 (2004-04-12 14:50), 1.0-7 (2004-05-18 20:50), 1.0-8 (2004-05-26 13:48), 1.0-9 (2004-06-17 17:33), 1.1-1.1 (2004-09-12 20:05), 1.1-1 (2004-09-11 09:18), 1.1-2 (2004-09-15 15:15), 1.1-3 (2004-09-25 11:07), 1.1-4 (2004-09-29 13:53), 1.1-5 (2004-10-01 08:31), 1.1-7 (2004-10-20 15:33), 1.1-8 (2004-11-12 16:00), 1.2-0 (2005-03-10 19:48), 1.2-1 (2005-03-26 22:52), 1.2-2 (2005-04-07 17:33), 1.2-3 (2005-04-10 23:14), 1.2-4 (2005-04-19 09:20), 1.2-5 (2005-05-19 07:22), 1.2-6 (2005-05-25 13:10), 1.3-0 (2005-05-30 12:56), 1.3-1 (2005-06-08 18:49), 1.3-2 (2005-06-21 09:34), 1.3-3 (2005-06-30 16:24), 1.3-4 (2005-07-12 17:00), 1.3-5 (2005-08-11 08:51), 1.3-6 (2005-08-20 23:37), 1.3-7 (2005-08-30 00:31), 1.3-8 (2005-10-16 21:09), 1.3-9 (2005-11-10 19:02), 1.3-10 (2005-11-29 21:03), 1.3-11 (2005-12-11 21:10), 1.3-12 (2005-12-14 15:55), 1.3-13 (2006-01-24 10:21), 1.3-15 (2006-04-12 14:19), 1.3-16 (2006-04-24 13:18), 1.3-17 (2006-05-18 10:38), 1.3-18 (2006-07-21 10:23), 1.3-19 (2006-09-13 10:33), 1.3-20 (2006-10-16 20:38), 1.3-21 (2006-11-21 11:58), 1.3-22 (2006-12-01 09:10), 1.3-23 (2007-03-15 19:49), 1.3-24 (2007-05-07 12:16), 1.3-25 (2007-06-22 11:51), 1.3-26 (2007-08-13 21:58), 1.3-27 (2007-09-27 10:01), 1.3-28 (2007-10-10 12:23), 1.3-29 (2007-11-17 10:41), 1.3-30 (2008-04-03 18:28), 1.3-31 (2008-04-29 20:16), 1.4-0 (2008-06-08 17:14), 1.4-1.1 (2008-12-13 12:36), 1.4-1 (2008-06-19 08:43), 1.4-2 (2009-02-13 13:24), 1.5-0 (2009-03-03 20:46), 1.5-1 (2009-03-17 19:17), 1.5-2 (2009-03-26 19:26), 1.5-3 (2009-04-22 18:02), 1.5-4 (2009-05-04 12:19), 1.5-5 (2009-05-15 13:26), 1.5-6 (2009-09-12 14:18), 1.6-0 (2009-11-18 18:01), 1.6-1 (2009-12-01 18:19), 1.6-2 (2010-04-27 21:10), 1.7-0 (2010-11-03 08:42), 1.7-1 (2010-11-08 08:32), 1.7-2 (2010-11-13 16:19), 1.7-3 (2011-02-14 20:21), 1.7-4 (2011-03-09 16:04), 1.7-5 (2011-03-26 16:44), 1.7-6 (2011-04-14 19:02), 1.7-7 (2011-10-08 08:44), 1.7-8 (2011-10-10 19:52), 1.7-9 (2011-10-20 13:21), 1.7-10 (2011-11-02 18:26), 1.7-11 (2011-11-14 10:58), 1.7-12 (2011-12-12 13:21), 1.7-13 (2012-01-22 10:59), 1.7-14 (2012-04-27 08:09), 1.7-16 (2012-04-30 10:22), 1.7-17 (2012-05-23 11:44), 1.7-18 (2012-06-12 13:02), 1.7-19 (2012-07-20 07:00), 1.7-20 (2012-08-24 21:00), 1.7-21 (2012-09-18 16:45), 1.7-22 (2012-10-15 13:20), 1.7-23 (2013-05-20 22:23), 1.7-24 (2013-06-05 10:34), 1.7-26 (2013-09-06 11:31), 1.7-27 (2013-10-01 09:49), 1.7-28 (2014-01-29 19:02), 1.7-29 (2014-03-31 08:57), 1.8-0 (2014-06-25 09:05), 1.8-1 (2014-07-06 00:16), 1.8-2 (2014-07-21 12:12), 1.8-3 (2014-08-29 22:07), 1.8-4 (2014-11-27 13:16), 1.8-5 (2015-03-03 09:18), 1.8-6 (2015-03-31 12:46), 1.8-7 (2015-07-23 07:05), 1.8-8 (2015-10-24 09:17), 1.8-9 (2015-10-30 10:53), 1.8-10 (2015-12-12 18:49), 1.8-11 (2016-01-24 00:08), 1.8-12 (2016-03-03 07:57), 1.8-13 (2016-07-21 19:18), 1.8-14 (2016-08-20 12:07), 1.8-15 (2016-09-14 18:51), 1.8-16 (2016-11-07 19:28), 1.8-17 (2017-02-16 09:57), 1.8-18 (2017-08-02 15:32), 1.8-19 (2017-09-01 13:37), 1.8-20 (2017-09-14 18:08), 1.8-21 (2017-09-17 21:24), 1.8-22 (2017-09-24 17:24), 1.8-23 (2018-01-21 19:59), 1.8-24 (2018-06-23 18:07), 1.8-25 (2018-10-26 16:50), 1.8-26 (2018-11-21 12:50), 1.8-27 (2019-02-06 16:00), 1.8-28 (2019-03-21 12:40), 1.8-29 (2019-09-20 12:00), 1.8-30 (2019-10-24 22:00), 1.8-31 (2019-11-09 06:30), 1.8-32 (2020-08-19 17:40), 1.8-33 (2020-08-27 10:30), 1.8-34 (2021-02-16 19:50), 1.8-35 (2021-04-18 11:50), 1.8-36 (2021-06-01 11:50), 1.8-37 (2021-09-23 12:30), 1.8-38 (2021-10-06 06:20), 1.8-39 (2022-02-24 18:50), 1.8-40 (2022-03-29 11:50), 1.8-41 (2022-10-21 15:52), 1.8-42 (2023-03-02 13:20), 1.9-0 (2023-07-11 10:40)
Other packages that cited mgcv R package
View mgcv citation profile
Other R packages that mgcv depends,
imports, suggests or enhances
Complete documentation for mgcv
Functions, R codes and Examples using
the mgcv R package
Some associated functions: Beta . FFdes . NCV . Predict.matrix.cr.smooth . Predict.matrix . Predict.matrix.soap.film . Rrank . Sl.initial.repara . Sl.repara . Sl.setup . Tweedie . XWXd . anova.gam . bam . bam.update . bandchol . blas.thread.test . bug.reports.mgcv . cSplineDes . chol.down . choose.k . cnorm . columb . concurvity . coxph . coxpht . dDeta . dpnorm . exclude.too.far . extract.lme.cov . factor.smooth . family.mgcv . fix.family.link . fixDependence . formXtViX . formula.gam . fs.test . full.score . gam.check . gam.control . gam.convergence . gam.fit . gam.fit3 . gam.fit5.post.proc . gam.mh . gam.models . gam . gam.outer . gam.reparam . gam.scale . gam.selection . gam.side . gam.vcomp . gam2objective . gamObject . gamSim . gamlss.etamu . gamlss.gH . gamm . gammals . gaulss . get.var . gevlss . gfam . ginla . gumbls . identifiability . in.out . inSide . influence.gam . initial.sp . interpret.gam . jagam . k.check . ldTweedie . ldetS . linear.functional.terms . logLik.gam . ls.size . magic . magic.post.proc . mgcv-FAQ . mgcv-package . mgcv-parallel . mini.roots . missing.data . model.matrix.gam . mono.con . mroot . multinom . mvn . negbin . new.name . notExp . notExp2 . null.space.dimension . ocat . one.se.rule . pcls . pdIdnot . pdTens . pen.edf . place.knots . plot.gam . polys.plot . predict.bam . predict.gam . print.gam . psum.chisq . qq.gam . rTweedie . random.effects . residuals.gam . rig . rmvn . s . scat . sdiag . shash . single.index . slanczos . smooth.construct.ad.smooth.spec . smooth.construct.bs.smooth.spec . smooth.construct.cr.smooth.spec . smooth.construct.ds.smooth.spec . smooth.construct.fs.smooth.spec . smooth.construct.gp.smooth.spec . smooth.construct.mrf.smooth.spec . smooth.construct . smooth.construct.ps.smooth.spec . smooth.construct.re.smooth.spec . smooth.construct.so.smooth.spec . smooth.construct.sos.smooth.spec . smooth.construct.sz.smooth.spec . smooth.construct.t2.smooth.spec . smooth.construct.tensor.smooth.spec . smooth.construct.tp.smooth.spec . smooth.info . smooth.terms . smooth2random . smoothCon . sp.vcov . spasm.construct . step.gam . summary.gam . t2 . te . tensor.prod.model.matrix . totalPenaltySpace . trichol . trind.generator . twlss . uniquecombs . vcov.gam . vis.gam . ziP . ziplss .
Some associated R codes: Full mgcv package functions and examples
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