Package: bpbounds 0.1.6.9000

Tom Palmer

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://mrcieu.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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

Pkgdown:https://remlapmot.github.io

On CRAN:

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

4.92 score 12 scripts 645 downloads 1 mentions 2 exports 0 dependencies

Last updated 4 months agofrom:05fe0c2d9d. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 14 2024
R-4.5-winOKNov 14 2024
R-4.5-linuxOKNov 14 2024
R-4.4-winOKNov 14 2024
R-4.4-macOKNov 14 2024
R-4.3-winOKNov 14 2024
R-4.3-macOKNov 14 2024

Exports:bpboundsrunExample

Dependencies:

Nonparametric bounds for the average causal effect: bpbounds examples

Rendered frombpbounds.Rmdusingknitr::rmarkdownon Nov 14 2024.

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