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:Marlene Mueller

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 = c('https://cran.r-universe.dev', '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.

14 exports 0.00 score 64 dependencies 24 scripts 237 downloads

Last updated 8 years agofrom:be8e9aec8a. Checks:OK: 2. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Sep 06 2024
R-4.5-linux-x86_64	OK	Sep 06 2024

Exports:bandwidth.scott convol create.grid glm.inverse.link glm.link glm.ll glm.lld kbackfit kde kernel.constants kernel.function kgplm kreg sgplm1

Dependencies:abind AER backports boot broom car carData cli colorspace cowplot cpp11 Deriv doBy dplyr fansi farver Formula generics ggplot2 glue gtable isoband labeling lattice lifecycle lme4 lmtest magrittr MASS Matrix MatrixModels mgcv microbenchmark minqa modelr munsell nlme nloptr nnet numDeriv pbkrtest pillar pkgconfig purrr quantreg R6 RColorBrewer Rcpp RcppEigen rlang sandwich scales SparseM stringi stringr survival tibble tidyr tidyselect utf8 vctrs viridisLite withr zoo

An Introduction to the Estimation of GPLMs and Data Examples for the R gplm Package

Rendered fromgplm-examples.Rnwusingutils::Sweaveon Sep 06 2024.

Last update: 2016-08-29
Started: 2014-05-07

Citation

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