Package: DistLagHet 0.1.0

Henri Fabre

DistLagHet: Treatment Effect Estimation in Complex Designs

Implements estimation methods for treatment effects in complex designs under parallel-trends assumptions. Based on the methodology of de Chaisemartin and D'Haultfoeuille (2025) <doi:10.48550/arXiv.2508.07808>. Provides three model specifications: base model with K lags, full dynamics model using all available periods, and interactions model with lag interaction terms. Includes C++ optimizations for faster bootstrap estimation.

Authors:Clement de Chaisemartin [aut], Xavier D'Haultfoeuille [aut], Henri Fabre [cre, ctb]

DistLagHet_0.1.0.tar.gz
DistLagHet_0.1.0.zip(r-4.7-x86_64)DistLagHet_0.1.0.zip(r-4.7-arm64)DistLagHet_0.1.0.zip(r-4.6-x86_64)DistLagHet_0.1.0.zip(r-4.6-arm64)
DistLagHet_0.1.0.tar.gz(r-4.7-arm64)DistLagHet_0.1.0.tar.gz(r-4.7-x86_64)DistLagHet_0.1.0.tar.gz(r-4.6-arm64)DistLagHet_0.1.0.tar.gz(r-4.6-x86_64)
DistLagHet_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
DistLagHet/json (API)

# Install 'DistLagHet' in R:
install.packages('DistLagHet', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

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

cpp

1.70 score 2 scripts 6 exports 3 dependencies

Last updated from:7d90c5312a. Checks:10 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK139
linux-devel-x86_64OK143
source / vignettesOK239
linux-release-arm64OK119
linux-release-x86_64OK110
windows-devel-arm64OK207
windows-devel-x86_64OK118
windows-release-arm64OK232
windows-release-x86_64OK117
wasm-releaseOK112

Exports:estim_RC_model_baseestim_RC_model_fullestim_RC_model_interactionsestim_RC_model_unifiedgenerate_did_datasummary_RC_model

Dependencies:MASSRcppRcppEigen