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vennLasso
View on CRAN: Click
here
Download and install vennLasso package within the R console
Install from CRAN:
install.packages("vennLasso")
Install from Github:
library("remotes")
install_github("cran/vennLasso")
Install by package version:
library("remotes")
install_version("vennLasso", "0.1.6")
Attach the package and use:
library("vennLasso")
Maintained by
Jared Huling
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-11-16
Latest Update: 2020-06-03
Description:
Provides variable selection and estimation routines for models
with main effects stratified on multiple binary factors. The 'vennLasso' package
is an implementation of the method introduced in Huling, et al. (2017) .
How to cite:
Jared Huling (2017). vennLasso: Variable Selection for Heterogeneous Populations. R package version 0.1.6, https://cran.r-project.org/web/packages/vennLasso
Previous versions and publish date:
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Other R packages that vennLasso depends,
imports, suggests or enhances
Functions, R codes and Examples using
the vennLasso R package
Some associated functions: cv.vennLasso . estimate.hier.sparsity.param . genHierSparseBeta . genHierSparseData . logLik . oglasso . plot . plotCoefs . plotSelections . plotVenn . predict.cv.vennLasso . predict . vennLasso .
Some associated R codes: cv_vennLasso.R . log_lik.R . oglasso.R . plot_cv_vennLasso.R . plot_vennLasso.R . predict_vennLasso.R . simulate_hierarchically_sparse_data.R . treePlot.R . utils.R . vennLasso.R . vennPlot.R . Full vennLasso package functions and examples
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