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 260 downloads 5 exports 0 dependencies

Last updated 11 months agofrom:be0b5376c8. Checks:7 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 12 2025
R-4.5-winOKJan 12 2025
R-4.5-linuxOKJan 12 2025
R-4.4-winOKJan 12 2025
R-4.4-macOKJan 12 2025
R-4.3-winOKJan 12 2025
R-4.3-macOKJan 12 2025

Exports:alignmentalignment.attcausalsensone.sidedone.sided.att

Dependencies:

Sensitivity analyses for causal effects

Rendered fromcausalsens.Rmdusingknitr::rmarkdownon Jan 12 2025.

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