Package: gplm 0.7-4

Marlene Mueller
gplm: Generalized Partial Linear Models (GPLM)
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.
Authors:
gplm_0.7-4.tar.gz
gplm_0.7-4.tar.gz(r-4.5-noble)gplm_0.7-4.tar.gz(r-4.4-noble)
gplm_0.7-4.tgz(r-4.4-emscripten)gplm_0.7-4.tgz(r-4.3-emscripten)
gplm.pdf |gplm.html✨
gplm/json (API)
# Install 'gplm' in R: |
install.packages('gplm', repos = 'https://cloud.r-project.org') |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 9 years agofrom:be8e9aec8a. Checks:3 OK. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Mar 05 2025 |
R-4.5-linux-x86_64 | OK | Mar 05 2025 |
R-4.4-linux-x86_64 | OK | Mar 05 2025 |
Exports:bandwidth.scottconvolcreate.gridglm.inverse.linkglm.linkglm.llglm.lldkbackfitkdekernel.constantskernel.functionkgplmkregsgplm1
Dependencies:abindAERbackportsbootbroomcarcarDataclicolorspacecowplotcpp11DerivdoBydplyrfansifarverFormulagenericsggplot2gluegtableisobandlabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpurrrquantregR6rbibutilsRColorBrewerRcppRcppEigenRdpackreformulasrlangsandwichscalesSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithrzoo
Citation
To cite package ‘gplm’ in publications use:
Mueller M (2016). gplm: Generalized Partial Linear Models (GPLM). R package version 0.7-4, https://CRAN.R-project.org/package=gplm.
ATTENTION: This citation information has been auto-generated from the package DESCRIPTION file and may need manual editing, see ‘help("citation")’.
Corresponding BibTeX entry:
@Manual{, title = {gplm: Generalized Partial Linear Models (GPLM)}, author = {Marlene Mueller}, year = {2016}, note = {R package version 0.7-4}, url = {https://CRAN.R-project.org/package=gplm}, }
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Scott's rule of thumb | bandwidth.scott |
Kernel convolution | convol |
Create a grid for kernel estimation | create.grid |
Link function for GLM | glm.inverse.link |
(Inverse) Link function for GLM | glm.link |
Log-likelihood for GLM | glm.ll |
Log-likelihood derivatives for GLM | glm.lld |
Backfitting for an additive model using kernel regression | kbackfit |
Kernel density estimation | kde |
Kernel constants | kernel.constants |
Kernel function | kernel.function |
Generalized partial linear model | kgplm |
Kernel regression | kreg |
Generalized partial linear model | sgplm1 |