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:Tom Palmer [aut, cre], Roland Ramsahai [aut], Vanessa Didelez [aut], Nuala Sheehan [aut]

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bpbounds.pdf |bpbounds.html
bpbounds/json (API)
NEWS

# Install 'bpbounds' in R:
install.packages('bpbounds', repos = c('https://remlapmot.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/remlapmot/bpbounds/issues

Pkgdown site:https://remlapmot.github.io

On CRAN:

aceaverage-causal-effectboundsinstrumental-variableivmendelianmendelian-randomisationmendelian-randomizationmendelianrandomisationmendelianrandomizationmrnonparametricnonparametric-boundspearlshiny

4.92 score 12 scripts 613 downloads 1 mentions 2 exports 0 dependencies

Last updated 20 days agofrom:91c8189933. Checks:7 OK. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKJan 20 2025
R-4.5-winOKJan 20 2025
R-4.5-linuxOKJan 20 2025
R-4.4-winOKJan 20 2025
R-4.4-macOKJan 20 2025
R-4.3-winOKJan 20 2025
R-4.3-macOKJan 20 2025

Exports:bpboundsrunExample

Dependencies:

Nonparametric bounds for the average causal effect: bpbounds examples

Rendered frombpbounds.Rmdusingknitr::rmarkdownon Jan 20 2025.

Last update: 2024-08-27
Started: 2018-10-25