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-4.4-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'))

Peer review:

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:

4.70 score 10 stars 7 scripts 279 downloads 5 exports 0 dependencies

Last updated 8 months agofrom:be0b5376c8. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 13 2024
R-4.5-winOKNov 13 2024
R-4.5-linuxOKNov 13 2024
R-4.4-winOKNov 13 2024
R-4.4-macOKNov 13 2024
R-4.3-winOKNov 13 2024
R-4.3-macOKNov 13 2024

Exports:alignmentalignment.attcausalsensone.sidedone.sided.att

Dependencies:

Sensitivity analyses for causal effects

Rendered fromcausalsens.Rmdusingknitr::rmarkdownon Nov 13 2024.

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