R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which r package ggplot which r package fread which r package license where is package.json where is package-lock.json where is package.swift where is package explorer in eclipse where is package where is package manager unity where is package installer android where is package manager console in visual studio who r package which r package to install which r package version who is package who is package deal who is package design r and r package full form r and r package meaning what r package has what package r what is package in java what is package what is package-lock.json what is package in python what is package.json what is package installer do r package can't install r packages r can't find package r can't load package can't load xlsx package r can't install psych package r can't install sf package r Write if else in NONMEM pk pd
DMRnet
View on CRAN: Click
here
Download and install DMRnet package within the R console
Install from CRAN:
install.packages("DMRnet")
Install from Github:
library("remotes")
install_github("cran/DMRnet") Install by package version:
library("remotes")
install_version("DMRnet", "0.4.1") Attach the package and use:
library("DMRnet")
Maintained by
Szymon Nowakowski
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-09-05
Latest Update: 2023-08-07
Description:
Model selection algorithms for regression and classification, where the predictors can be continuous or categorical and the number of regressors may exceed the number of observations. The selected model consists of a subset of numerical regressors and partitions of levels of factors. Szymon Nowakowski, Piotr Pokarowski, Wojciech Rejchel and Agnieszka Soltys, 2023. Improving Group Lasso for High-Dimensional Categorical Data. In: Computational Science
How to cite:
Szymon Nowakowski (2017). DMRnet: Delete or Merge Regressors Algorithms for Linear and Logistic Model Selection and High-Dimensional Data. R package version 0.4.1, https://cran.r-project.org/web/packages/DMRnet. Accessed 05 Jun. 2026.
Previous versions and publish date:
Other packages that cited DMRnet R package
View DMRnet citation profile
Other R packages that DMRnet depends,
imports, suggests or enhances
Complete documentation for DMRnet
Functions, R codes and Examples using
the DMRnet R package
Some associated functions: DMR . DMRnet-package . DMRnet . coef.DMR . coef.cv.DMR . coef.gic.DMR . cv.DMR . cv.DMRnet . gic.DMR . miete . plot.DMR . plot.cv.DMR . plot.gic.DMR . predict.DMR . predict.cv.DMR . predict.gic.DMR . print.DMR . promoter .
Some associated R codes: DMR.R . DMR4glm.R . DMR4glm_help.R . DMR4lm.R . DMR4lm_help.R . DMRnet-package.R . DMRnet.R . DMRnet4glm.R . DMRnet4glm_help.R . DMRnet4lm.R . DMRnet4lm_help.R . SOSnet4glm.R . SOSnet4glm_help.R . SOSnet4lm.R . SOSnet4lm_help.R . clusters_4glm_help.R . clusters_4lm_help.R . coef.DMR.R . coef.cv.DMR.R . coef.gic.DMR.R . constants.R . cv.DMR.R . cv.DMRnet.R . cv_GIC_indexed.R . cv_MD_indexed.R . cv_compute_model.R . cv_indexation.mode_distribute.R . gic.DMR.R . glamer_4glm.R . glamer_4glm_help.R . glamer_4lm.R . glamer_4lm_help.R . glamer_stats.R . miete.R . onAttach.R . part2beta_glm_help.R . part2beta_help.R . plot.DMR.R . plot.cv.DMR.R . plot.gic.DMR.R . postlasso_O_step_preparation.R . postlasso_common.R . postlasso_fac.R . postlasso_glamer.R . predict.DMR.R . predict.cv.DMR.R . predict.gic.DMR.R . prelasso_binomial.R . prelasso_common.R . prelasso_cont_columns.R . print.DMR.R . promoter.R . release_questions.R . t_stats.R . w_stats.R . wrap_up_binomial.R . wrap_up_gaussian.R . Full DMRnet package functions and examples
Downloads during the last 30 days
Today's Hot Picks in Authors and Packages
msm
Functions for fitting continuous-time Markov and hidden
Markov multi-state models to longitudinal d ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Christopher Jackson (view profile)
ibb
Call wrappers for Istanbul Metropolitan
Municipality's Open Data Portal (Turkish: Istanbul B ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Berk Orbay (view profile)
envirem
Generation of bioclimatic rasters that are complementary to the typical 19 bioclim variables. ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Pascal Title (view profile)
crossurr
Doubly robust methods for evaluating surrogate markers as outlined in: Agniel D, Hejblum BP, Thiebau ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Denis Agniel (view profile)
quickcode
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
27,268
R Packages
233,548
Dependencies
72,590
Author Associations
27,205
Publication Badges
