Package: xtifedml 0.1.4

Annalivia Polselli

xtifedml: Double Machine Learning for Static Panel Models with Interactive Fixed Effects

Implements partially linear panel regression (PLPR) models with interactive fixed effects, high-dimensional confounding variables, and an exogenous treatment variable within the double machine learning framework. Estimates the structural parameter (treatment effect) in static panel data models with interactive fixed effects using the approach established in Chen et al. (2026) <doi:10.48550/arXiv.2608.01137>. Builds on the object-oriented package 'DoubleML' (Bach et al., 2024) <doi:10.18637/jss.v108.i03> and 'xtdml' (Polselli, 2025) <doi:10.48550/arXiv.2512.15965>, using the 'mlr3' ecosystem.

Authors:Binzhi Chen [aut], Annalivia Polselli [aut, cre]

xtifedml_0.1.4.tar.gz
xtifedml_0.1.4.zip(r-4.7-any)xtifedml_0.1.4.zip(r-4.6-any)
xtifedml_0.1.4.tar.gz(r-4.7-any)xtifedml_0.1.4.tar.gz(r-4.6-any)
xtifedml_0.1.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
xtifedml/json (API)

# Install 'xtifedml' in R:
install.packages('xtifedml', 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.

1.00 score 5 exports 56 dependencies

Last updated from:89a1d510e9. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK224
source / vignettesOK270
linux-releaseOK156
windows-develOK129
windows-releaseOK135
wasm-releaseOK130

Exports:make_plpr_dataxtifedmlxtifedml_dataxtifedml_data_dfxtifedml_plr

Dependencies:backportsbbotkbitopscaToolscheckmatecliclusterGenerationcodetoolsdata.tabledigestdplyrevaluatefuturefuture.applygenericsglobalsgluegplotsgtoolsKernSmoothlgrlifecyclelistenvmagrittrMASSmatrixStatsmiraimlbenchMLmetricsmlr3mlr3learnersmlr3measuresmlr3miscmlr3tuningmoocoremvtnormnanonextpalmerpenguinsparadoxparallellypillarpkgconfigPRROCR6rbibutilsRcppRdpackreadstata13rlangROCRtibbletidyselectutf8uuidvctrswithr