Package: xtdml 0.1.12

Annalivia Polselli

xtdml: Double Machine Learning for Static Panel Models with Fixed Effects

The 'xtdml' package implements partially linear panel regression (PLPR) models with high-dimensional confounding variables and an exogenous treatment variable within the double machine learning framework. The package is used to estimate the structural parameter (treatment effect) in static panel data models with fixed effects using the approaches established in Clarke and Polselli (2025) <doi:10.1093/ectj/utaf011>. 'xtdml' is built on the object-oriented package 'DoubleML' (Bach et al., 2024) <doi:10.18637/jss.v108.i03> using the 'mlr3' ecosystem.

Authors:Annalivia Polselli [aut, cre]

xtdml_0.1.12.tar.gz
xtdml_0.1.12.tar.gz(r-4.7-any)xtdml_0.1.12.tar.gz(r-4.6-any)
xtdml_0.1.12.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
xtdml/json (API)

# Install 'xtdml' in R:
install.packages('xtdml', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.48 score 6 scripts 486 downloads 5 exports 56 dependencies

Last updated from:ac841137d6. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK144
source / vignettesOK205
linux-release-x86_64OK140
wasm-releaseOK114

Exports:make_plpr_dataxtdmlxtdml_dataxtdml_data_from_data_framextdml_plr

Dependencies:backportsbbotkbitopscaToolscheckmatecliclusterGenerationcodetoolsdata.tabledigestdplyrevaluatefuturefuture.applygenericsglobalsgluegplotsgtoolsKernSmoothlgrlifecyclelistenvmagrittrMASSmatrixStatsmiraimlbenchMLmetricsmlr3mlr3learnersmlr3measuresmlr3miscmlr3tuningmoocoremvtnormnanonextpalmerpenguinsparadoxparallellypillarpkgconfigPRROCR6rbibutilsRcppRdpackreadstata13rlangROCRtibbletidyselectutf8uuidvctrswithr