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scam
View on CRAN: Click
here
Download and install scam package within the R console
Install from CRAN:
install.packages("scam")
Install from Github:
library("remotes")
install_github("cran/scam")
Install by package version:
library("remotes")
install_version("scam", "1.2-16")
Attach the package and use:
library("scam")
Maintained by
Natalya Pya
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2012-01-20
Latest Update: 2024-02-23
Description:
Generalized additive models under shape
constraints on the component functions of the linear predictor.
Models can include multiple shape-constrained (univariate
and bivariate) and unconstrained terms. Routines of the
package 'mgcv' are used to set up the model matrix, print,
and plot the results. Multiple smoothing parameter
estimation by the Generalized Cross Validation or similar.
See Pya and Wood (2015)
for an overview. A broad selection of shape-constrained
smoothers, linear functionals of smooths with shape constraints,
and Gaussian models with AR1 residuals.
How to cite:
Natalya Pya (2012). scam: Shape Constrained Additive Models. R package version 1.2-16, https://cran.r-project.org/web/packages/scam
Previous versions and publish date:
1.0 (2012-01-20 16:18), 1.1-1 (2012-01-28 18:08), 1.1-2 (2012-08-05 15:44), 1.1-3 (2012-09-23 20:08), 1.1-4 (2012-10-08 21:14), 1.1-5 (2013-09-14 09:06), 1.1-6 (2013-10-02 12:05), 1.1-7 (2014-05-27 17:52), 1.1-8 (2014-09-24 17:57), 1.1-9 (2015-06-19 08:51), 1.1 (2012-01-22 08:58), 1.2-0 (2016-06-02 09:43), 1.2-1 (2017-02-16 17:27), 1.2-2 (2017-09-24 15:02), 1.2-3 (2018-09-25 22:50), 1.2-4 (2019-06-14 13:40), 1.2-5 (2019-08-19 12:30), 1.2-6 (2020-06-10 12:00), 1.2-7 (2020-09-24 21:20), 1.2-8 (2020-10-23 10:20), 1.2-9 (2020-12-09 11:10), 1.2-10 (2021-02-01 14:50), 1.2-11 (2021-04-01 12:20), 1.2-12 (2021-08-10 16:40), 1.2-13 (2022-09-09 17:20), 1.2-14 (2023-04-14 12:00), 1.2-15 (2024-01-25 21:50)
Other packages that cited scam R package
View scam citation profile
Other R packages that scam depends,
imports, suggests or enhances
Functions, R codes and Examples using
the scam R package
Some associated functions: Predict.matrix.mpi.smooth . anova.scam . bfgs_gcv.ubre . check.analytical . derivative.scam . formula.scam . gcv.ubre_grad . linear.functional.terms . logLik.scam . marginal.matrices.tescv.ps . marginal.matrices.tesmi1.ps . marginal.matrices.tesmi2.ps . plot.scam . predict.scam . print.scam . qq.scam . residuals.scam . scam-package . scam.check . scam.control . scam.fit . scam . shape.constrained.smooth.terms . smooth.construct.cx.smooth.spec . smooth.construct.mdcv.smooth.spec . smooth.construct.mdcx.smooth.spec . smooth.construct.micv.smooth.spec . smooth.construct.micx.smooth.spec . smooth.construct.mifo.smooth.spec . smooth.construct.miso.smooth.spec . smooth.construct.mpd.smooth.spec . smooth.construct.mpi.smooth.spec . smooth.construct.po.smooth.spec . smooth.construct.tecvcv.smooth.spec . smooth.construct.tecxcv.smooth.spec . smooth.construct.tecxcx.smooth.spec . smooth.construct.tedecv.smooth.spec . smooth.construct.tedecx.smooth.spec . smooth.construct.tedmd.smooth.spec . smooth.construct.tedmi.smooth.spec . smooth.construct.temicv.smooth.spec . smooth.construct.temicx.smooth.spec . smooth.construct.tescv.smooth.spec . smooth.construct.tescx.smooth.spec . smooth.construct.tesmd1.smooth.spec . smooth.construct.tesmd2.smooth.spec . smooth.construct.tesmi1.smooth.spec . smooth.construct.tesmi2.smooth.spec . smooth.construct.tismd.smooth.spec . smooth.construct.tismi.smooth.spec . summary.scam . vis.scam .
Some associated R codes: bivar.smooth.const-ti.R . bivar.smooth.const.R . check.analytical.R . derivative.smooth.R . estimate.scam.R . predict.scam.R . print.scam.R . residuals.scam.R . scam.check.R . summary.scam.R . Full scam package functions and examples
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