Package: TSCI 3.0.4

David Carl

TSCI: Tools for Causal Inference with Possibly Invalid Instrumental Variables

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" <arxiv:2203.12808>. The vignette is available in Carl, Emmenegger, Bühlmann and Guo (2023) "TSCI: two stage curvature identification for causal inference with invalid instruments" <arxiv:2304.00513>.

Authors:David Carl [aut, cre], Corinne Emmenegger [aut], Wei Yuan [aut], Mengchu Zheng [aut], Zijian Guo [aut]

TSCI_3.0.4.tar.gz
TSCI_3.0.4.zip(r-4.5)TSCI_3.0.4.zip(r-4.4)TSCI_3.0.4.zip(r-4.3)
TSCI_3.0.4.tgz(r-4.5-any)TSCI_3.0.4.tgz(r-4.4-any)TSCI_3.0.4.tgz(r-4.3-any)
TSCI_3.0.4.tar.gz(r-4.5-noble)TSCI_3.0.4.tar.gz(r-4.4-noble)
TSCI_3.0.4.tgz(r-4.4-emscripten)TSCI_3.0.4.tgz(r-4.3-emscripten)
TSCI.pdf |TSCI.html
TSCI/json (API)

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

Bug tracker:https://github.com/dlcarl/tsci/issues

On CRAN:

Conda:

3.00 score 1 stars 3 scripts 683 downloads 6 exports 26 dependencies

Last updated 1 years agofrom:a9bfe5732d. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 08 2025
R-4.5-winOKMar 08 2025
R-4.5-macOKMar 08 2025
R-4.5-linuxOKMar 08 2025
R-4.4-winOKMar 08 2025
R-4.4-macOKMar 08 2025
R-4.4-linuxOKMar 08 2025
R-4.3-winOKMar 08 2025
R-4.3-macOKMar 08 2025

Exports:create_interactionscreate_monomialstsci_boostingtsci_foresttsci_polytsci_secondstage

Dependencies:clidata.tablefansifastDummiesgluejsonlitelatticelifecyclemagrittrMatrixpillarpkgconfigrangerRcppRcppArmadilloRcppEigenRcppParallelRfastrlangstringistringrtibbleutf8vctrsxgboostzigg