Introduction | A Selection Bias Approach to Sensitivity Analysis | An Illustration
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:
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✨
DESCRIPTION
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
Last updated from:be0b5376c8. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 99 | ||
| source / vignettes | OK | 167 | ||
| linux-release-x86_64 | OK | 107 | ||
| macos-release-arm64 | OK | 78 | ||
| macos-oldrel-arm64 | OK | 72 | ||
| windows-devel | OK | 66 | ||
| windows-release | OK | 66 | ||
| windows-oldrel | OK | 61 | ||
| wasm-release | OK | 94 |
Exports:alignmentalignment.attcausalsensone.sidedone.sided.att
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Calculate sensitivity of causal estimates to unmeasured confounding. | causalsens |
| Experimental data from the job training program first studied by LaLonde (1986) | lalonde.exp |
| Non-experimental data from Lalonde (1986) | lalonde.psid |
| Confounding functions | alignment alignment.att one.sided one.sided.att |
| Plot a causal sensitivity analysis. | plot.causalsens |
