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gplm  

Generalized Partial Linear Models (GPLM)
View on CRAN: Click here


Download and install gplm package within the R console
Install from CRAN:
install.packages("gplm")

Install from Github:
library("remotes")
install_github("cran/gplm")

Install by package version:
library("remotes")
install_version("gplm", "0.7-4")



Attach the package and use:
library("gplm")
Maintained by
Marlene Mueller
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-04-08
Latest Update: 2016-08-29
Description:
Provides functions for estimating a generalized partial linear model, a semiparametric variant of the generalized linear model (GLM) which replaces the linear predictor by the sum of a linear and a nonparametric function.
How to cite:
Marlene Mueller (2013). gplm: Generalized Partial Linear Models (GPLM). R package version 0.7-4, https://cran.r-project.org/web/packages/gplm. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.7-0 (2013-04-08 14:55), 0.7-1 (2013-04-11 23:09), 0.7-2 (2014-05-07 22:38), 0.7-3 (2016-08-27 15:29)
Other packages that cited gplm R package
View gplm citation profile
Other R packages that gplm depends, imports, suggests or enhances
Complete documentation for gplm
Functions, R codes and Examples using the gplm R package
Some associated functions: bandwidth.scott . convol . create.grid . glm.inverse.link . glm.link . glm.ll . glm.lld . kbackfit . kde . kernel.constants . kernel.function . kgplm . kreg . sgplm1 . 
Some associated R codes: bandwidth.scott.R . convol.R . create.grid.R . glm.inverse.link.R . glm.link.R . glm.ll.R . glm.lld.R . kbackfit.R . kde.R . kernel.constants.R . kernel.function.R . kgplm.R . kreg.R . sgplm1.R . zzz.R .  Full gplm package functions and examples
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