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:

5 exports 10 stars 1.53 score 0 dependencies 7 scripts 285 downloads

Last updated 6 months agofrom:be0b5376c8. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 14 2024
R-4.5-winOKSep 14 2024
R-4.5-linuxOKSep 14 2024
R-4.4-winOKSep 14 2024
R-4.4-macOKSep 14 2024
R-4.3-winOKSep 14 2024
R-4.3-macOKSep 14 2024

Exports:alignmentalignment.attcausalsensone.sidedone.sided.att

Dependencies:

Sensitivity analyses for causal effects

Rendered fromcausalsens.Rmdusingknitr::rmarkdownon Sep 14 2024.

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