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TSCI  

Tools for Causal Inference with Possibly Invalid Instrumental Variables
View on CRAN: Click here


Download and install TSCI package within the R console
Install from CRAN:
install.packages("TSCI")

Install from Github:
library("remotes")
install_github("cran/TSCI")

Install by package version:
library("remotes")
install_version("TSCI", "3.0.5")



Attach the package and use:
library("TSCI")
Maintained by
David Carl
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-09-19
Latest Update: 2023-10-09
Description:
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" <doi:10.48550/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" <doi:10.48550/arXiv.2304.00513>.
How to cite:
David Carl (2022). TSCI: Tools for Causal Inference with Possibly Invalid Instrumental Variables. R package version 3.0.5, https://cran.r-project.org/web/packages/TSCI. Accessed 06 Jun. 2026.
Previous versions and publish date:
1.0.0 (2022-09-19 15:16), 2.0.0 (2023-04-04 12:50), 3.0.0 (2023-05-31 22:20), 3.0.4 (2023-10-09 20:50)
Other packages that cited TSCI R package
View TSCI citation profile
Other R packages that TSCI depends, imports, suggests or enhances
Complete documentation for TSCI
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