CRAN/E | TSCI

TSCI

Tools for Causal Inference with Possibly Invalid Instrumental Variables

Installation

About

Two stage curvature identification with machine learning for causal inference in settings when instrumental variable regression is not suitable because of potentially invalid instrumental variables. Based on Guo and Buehlmann (2022) "Two Stage Curvature Identification with Machine Learning: Causal Inference with Possibly Invalid Instrumental Variables" . The vignette is available in Carl, Emmenegger, Bühlmann and Guo (2023) "TSCI: two stage curvature identification for causal inference with invalid instruments" .

Citation TSCI citation info
github.com/dlcarl/TSCI

Key Metrics

Version 3.0.4
R ≥ 4.0.0
Published 2023-10-09 193 days ago
Needs compilation? no
License GPL (≥ 3)
CRAN checks TSCI results

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Maintainer

Maintainer

David Carl

david.carl@phd.unibocconi.it

Authors

David Carl

aut / cre

Corinne Emmenegger

aut

Wei Yuan

aut

Mengchu Zheng

aut

Zijian Guo

aut

Material

README
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

TSCI archive

Depends

R ≥ 4.0.0

Imports

xgboost
Rfast
stats
ranger
parallel
fastDummies

Suggests

fda
MASS
testthat ≥ 3.0.0
withr