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:
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
Last updated 1 years agofrom:a9bfe5732d. Checks:8 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Feb 06 2025 |
| R-4.5-win | OK | Feb 06 2025 |
| R-4.5-mac | OK | Feb 06 2025 |
| R-4.5-linux | OK | Feb 06 2025 |
| R-4.4-win | OK | Feb 06 2025 |
| R-4.4-mac | OK | Feb 06 2025 |
| R-4.3-win | OK | Feb 06 2025 |
| R-4.3-mac | OK | Feb 06 2025 |
Exports:create_interactionscreate_monomialstsci_boostingtsci_foresttsci_polytsci_secondstage
Dependencies:clidata.tablefansifastDummiesgluejsonlitelatticelifecyclemagrittrMatrixpillarpkgconfigrangerRcppRcppArmadilloRcppEigenRcppGSLRcppParallelRcppZigguratRfastrlangstringistringrtibbleutf8vctrsxgboost
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Extract Model Coefficients of TSCI Fits. | coef.tsci |
| Confidence Intervals of Treatment Effect Estimates for TSCI Fits. | confint.tsci |
| Interactions as Violation Space Candidates | create_interactions |
| Monomials as Violation Space Candidates | create_monomials |
| Print Content of summary.tsci Object. | print.summary.tsci |
| Print Content of tsci Object. | print.tsci |
| Summarizing Two Stage Curvature Identification Fits | summary.tsci |
| Two Stage Curvature Identification with Boosting | tsci_boosting |
| Two Stage Curvature Identification with Random Forests | tsci_forest |
| Two Stage Curvature Identification with Polynomial Basis Expansion | tsci_poly |
| Two Stage Curvature Identification with User Provided Hat Matrix | tsci_secondstage |