Package: causalsens 0.1.3

causalsens: Selection Bias Approach to Sensitivity Analysis for Causal Effects

The causalsens package provides functions to perform sensitivity analyses and to study how various assumptions about selection bias affects estimates of causal effects.

Authors:Matthew Blackwell <[email protected]>

causalsens_0.1.3.tar.gz
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causalsens_0.1.3.tgz(r-4.5-any)causalsens_0.1.3.tgz(r-4.4-any)causalsens_0.1.3.tgz(r-4.3-any)
causalsens_0.1.3.tar.gz(r-4.5-noble)causalsens_0.1.3.tar.gz(r-4.4-noble)
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causalsens.pdf |causalsens.html
causalsens/json (API)

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

Bug tracker:https://github.com/mattblackwell/causalsens/issues

Datasets:
  • lalonde.exp - Experimental data from the job training program first studied by LaLonde
  • lalonde.psid - Non-experimental data from Lalonde

On CRAN:

Conda:

4.70 score 10 stars 7 scripts 278 downloads 5 exports 0 dependencies

Last updated 12 months agofrom:be0b5376c8. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 11 2025
R-4.5-winOKFeb 11 2025
R-4.5-macOKFeb 11 2025
R-4.5-linuxOKFeb 11 2025
R-4.4-winOKFeb 11 2025
R-4.4-macOKFeb 11 2025
R-4.3-winOKFeb 11 2025
R-4.3-macOKFeb 11 2025

Exports:alignmentalignment.attcausalsensone.sidedone.sided.att

Dependencies:

Sensitivity analyses for causal effects

Rendered fromcausalsens.Rmdusingknitr::rmarkdownon Feb 11 2025.

Last update: 2024-03-18
Started: 2024-03-18