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
dmlalg
View on CRAN: Click
here
Download and install dmlalg package within the R console
Install from CRAN:
install.packages("dmlalg")
Install from Github:
library("remotes")
install_github("cran/dmlalg") Install by package version:
library("remotes")
install_version("dmlalg", "1.0.2") Attach the package and use:
library("dmlalg")
Maintained by
Corinne Emmenegger
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-06-11
Latest Update: 2022-02-03
Description:
Implementation of double machine learning (DML) algorithms in R,
based on Emmenegger and Buehlmann (2021) "Regularizing Double Machine Learning
in Partially Linear Endogenous Models" and Emmenegger and
Buehlmann (2021) "Double Machine Learning for Partially
Linear Mixed-Effects Models with Repeated Measurements".
First part: our goal is to perform inference for the linear parameter in partially
linear models with confounding variables.
The standard DML estimator of the linear parameter has a two-stage least
squares interpretation, which can lead to a large variance and overwide
confidence intervals.
We apply regularization to reduce the variance of the estimator,
which produces narrower confidence intervals that are approximately valid.
Nuisance terms can be flexibly estimated with machine learning algorithms.
Second part: our goal is to estimate and perform inference for the linear
coefficient in a partially linear mixed-effects model
with DML. Machine learning algorithms allows us to incorporate more
complex interaction structures and high-dimensional variables.
How to cite:
Corinne Emmenegger (2021). dmlalg: Double Machine Learning Algorithms. R package version 1.0.2, https://cran.r-project.org/web/packages/dmlalg. Accessed 07 Oct. 2026.
Previous versions and publish date:
Other packages that cited dmlalg R package
View dmlalg citation profile
Other R packages that dmlalg depends,
imports, suggests or enhances
Complete documentation for dmlalg
Functions, R codes and Examples using
the dmlalg R package
Some associated functions: coef.regsdml . confint.mmdml . confint.regsdml . dmlalg . example_data_mmdml . lme4-extractors . mmdml . print.mmdml . print.regsdml . regsdml . residuals.mmdml . sigma.mmdml . summary.mmdml . summary.regsdml . vcov.regsdml .
Some associated R codes: condexp.R . example_data_mmdml.R . mmdml-beta.R . mmdml-methods.R . mmdml.R . regsdml-beta.R . regsdml-methods.R . regsdml-sigma2.R . regsdml.R . tryCatch-WEM.R . Full dmlalg package functions and examples
Downloads during the last 30 days
Today's Hot Picks in Authors and Packages
ggTimeSeries
Provides additional display mediums for time series visualisations. ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Aditya Kothari (view profile)
skewlmm
It fits scale mixture of skew-normal linear mixed models using an expectation–maximization (EM) ty ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Fernanda L. Schumacher (view profile)
nextGenShinyApps
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
plaqr
Estimation, prediction, thresholding, transformation, and plotting for partially linear additive qua ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Adam Maidman (view profile)
splm
ML and GM estimation and diagnostic testing of econometric models for spatial panel data. ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Giovanni Millo (view profile)
PairedData
Many datasets and a set of graphics (based on ggplot2), statistics, effect sizes and hypothesis test ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Stephane Champely (view profile)
28,905
R Packages
247,686
Dependencies
76,495
Author Associations
28,906
Publication Badges
