Package: bpbounds 0.1.6.9000
bpbounds: Nonparametric Bounds for the Average Causal Effect Due to Balke and Pearl and Extensions
Implementation of the nonparametric bounds for the average causal effect under an instrumental variable model by Balke and Pearl (Bounds on Treatment Effects from Studies with Imperfect Compliance, JASA, 1997, 92, 439, 1171-1176, <doi:10.2307/2965583>). The package can calculate bounds for a binary outcome, a binary treatment/phenotype, and an instrument with either 2 or 3 categories. The package implements bounds for situations where these 3 variables are measured in the same dataset (trivariate data) or where the outcome and instrument are measured in one study and the treatment/phenotype and instrument are measured in another study (bivariate data).
Authors:
bpbounds_0.1.6.9000.tar.gz
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bpbounds_0.1.6.9000.tgz(r-4.4-any)bpbounds_0.1.6.9000.tgz(r-4.3-any)
bpbounds_0.1.6.9000.tar.gz(r-4.5-noble)bpbounds_0.1.6.9000.tar.gz(r-4.4-noble)
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bpbounds.pdf |bpbounds.html✨
bpbounds/json (API)
NEWS
# Install 'bpbounds' in R: |
install.packages('bpbounds', repos = c('https://mrcieu.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/remlapmot/bpbounds/issues
Pkgdown:https://remlapmot.github.io
aceaverage-causal-effectboundsinstrumental-variableivmendelianmendelian-randomisationmendelian-randomizationmendelianrandomisationmendelianrandomizationmrnonparametricnonparametric-boundspearlshiny
Last updated 4 months agofrom:05fe0c2d9d. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 14 2024 |
R-4.5-win | OK | Nov 14 2024 |
R-4.5-linux | OK | Nov 14 2024 |
R-4.4-win | OK | Nov 14 2024 |
R-4.4-mac | OK | Nov 14 2024 |
R-4.3-win | OK | Nov 14 2024 |
R-4.3-mac | OK | Nov 14 2024 |
Exports:bpboundsrunExample
Dependencies:
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Nonparametric Bounds for the Average Causal Effect due to Balke and Pearl. | bpbounds |
Run Shiny App demonstrating the package | runExample |