Package: DistributionIV 0.1.3

DistributionIV: Distributional Instrumental Variable (DIV) Model

Distributional instrumental variable (DIV) model for estimation of the interventional distribution of the outcome Y under a do intervention on the treatment X. Instruments, predictors and targets can be univariate or multivariate. Functionality includes estimation of the (conditional) interventional mean and quantiles, as well as sampling from the fitted (conditional) interventional distribution.

Authors:Anastasiia Holovchak [aut, cre, ctb], Sorawit Saengkyongam [aut, ctb], Nicolai Meinshausen [aut, ctb], Xinwei Shen [aut, ctb]

DistributionIV_0.1.3.tar.gz
DistributionIV_0.1.3.zip(r-4.7)DistributionIV_0.1.3.zip(r-4.6)DistributionIV_0.1.3.zip(r-4.5)
DistributionIV_0.1.3.tgz(r-4.6-any)DistributionIV_0.1.3.tgz(r-4.5-any)
DistributionIV_0.1.3.tar.gz(r-4.7-any)DistributionIV_0.1.3.tar.gz(r-4.6-any)
DistributionIV_0.1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
DistributionIV/json (API)
NEWS

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

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.30 score 7 scripts 477 downloads 1 exports 2 dependencies

Last updated from:93a0f14f01. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK149
source / vignettesOK160
linux-release-x86_64OK106
macos-release-arm64OK180
macos-oldrel-arm64OK186
windows-develOK75
windows-releaseOK68
windows-oldrelOK75
wasm-releaseOK90

Exports:div

Dependencies:backportscheckmate