The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
Implements a partial linear semiparametric mixed-effects model (PLSMM) featuring a random intercept and applies a lasso penalty to both the fixed effects and the coefficients associated with the nonlinear function. The model also accommodates interactions between the nonlinear function and a grouping variable, allowing for the capture of group-specific nonlinearities. Nonlinear functions are modeled using a set of bases functions. Estimation is conducted using a penalized Expectation-Maximization algorithm, and the package offers flexibility in choosing between various information criteria for model selection. Post-selection inference is carried out using a debiasing method, while inference on the nonlinear functions employs a bootstrap approach.
Version: | 1.1.0 |
Imports: | dplyr, ggplot2, glmnet, hdi, MASS, mvtnorm, rlang, scalreg, stats |
Published: | 2024-06-04 |
DOI: | 10.32614/CRAN.package.plsmmLasso |
Author: | Sami Leon |
Maintainer: | Sami Leon <samileon at hotmail.fr> |
BugReports: | https://github.com/Sami-Leon/plsmmLasso/issues |
License: | GPL (≥ 3) |
URL: | https://github.com/Sami-Leon/plsmmLasso |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | plsmmLasso results |
Reference manual: | plsmmLasso.pdf |
Package source: | plsmmLasso_1.1.0.tar.gz |
Windows binaries: | r-devel: plsmmLasso_1.1.0.zip, r-release: plsmmLasso_1.1.0.zip, r-oldrel: plsmmLasso_1.1.0.zip |
macOS binaries: | r-release (arm64): plsmmLasso_1.1.0.tgz, r-oldrel (arm64): plsmmLasso_1.1.0.tgz, r-release (x86_64): plsmmLasso_1.1.0.tgz, r-oldrel (x86_64): plsmmLasso_1.1.0.tgz |
Old sources: | plsmmLasso archive |
Please use the canonical form https://CRAN.R-project.org/package=plsmmLasso to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.