CRAN/E | bpbounds

bpbounds

Nonparametric Bounds for the Average Causal Effect Due to Balke and Pearl and Extensions

Installation

About

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). 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).

Citation bpbounds citation info
github.com/remlapmot/bpbounds
remlapmot.github.io/bpbounds/
Bug report File report

Key Metrics

Version 0.1.5
R ≥ 3.5.0
Published 2023-05-03 330 days ago
Needs compilation? no
License GPL-3
CRAN checks bpbounds results

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Maintainer

Maintainer

Tom Palmer

remlapmot@hotmail.com

Authors

Tom Palmer

aut / cre

Rol
Ramsahai

aut

Vanessa Didelez

aut

Nuala Sheehan

aut

Material

README
NEWS
Reference manual
Package source

In Views

CausalInference

Vignettes

Nonparametric bounds for the average causal effect: bpbounds examples

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

bpbounds archive

Depends

R ≥ 3.5.0

Suggests

dplyr
knitr
rmarkdown
shiny
testthat
tidyr