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
causalsens_0.1.3.zip(r-4.7)causalsens_0.1.3.zip(r-4.6)causalsens_0.1.3.zip(r-4.5)
causalsens_0.1.3.tgz(r-4.6-any)causalsens_0.1.3.tgz(r-4.5-any)
causalsens_0.1.3.tar.gz(r-4.7-any)causalsens_0.1.3.tar.gz(r-4.6-any)
causalsens_0.1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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:

4.98 score 12 stars 16 scripts 216 downloads 5 exports 0 dependencies

Last updated from:be0b5376c8. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK107
source / vignettesOK146
linux-release-x86_64OK113
macos-release-arm64OK114
macos-oldrel-arm64OK94
windows-develOK68
windows-releaseOK72
windows-oldrelOK68
wasm-releaseOK95

Exports:alignmentalignment.attcausalsensone.sidedone.sided.att

Dependencies:

Sensitivity analyses for causal effects

Rendered fromcausalsens.Rmdusingknitr::rmarkdownon Jun 04 2026.

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