Package: marbounds 0.1.0

marbounds: Bounds on Causal Effects with Mixed Informative and Non-Informative Missingness

Implements influence-function-based estimators for bounds on causal effects (ATE, composite ATE, separable direct effect) when outcomes are missing due to an unknown mixture of informative and non-informative missingness. Supports user-specified estimands, assumptions, sensitivity parameters, tipping point analysis, and multiplier bootstrap over a grid of parameters. Nuisance functions are estimated via SuperLearner with cross-fitting.

Authors:Max Rubinstein [aut, cre], Denis Agniel [aut]

marbounds_0.1.0.tar.gz
marbounds_0.1.0.zip(r-4.7)marbounds_0.1.0.zip(r-4.6)marbounds_0.1.0.zip(r-4.5)
marbounds_0.1.0.tgz(r-4.6-any)marbounds_0.1.0.tgz(r-4.5-any)
marbounds_0.1.0.tar.gz(r-4.7-any)marbounds_0.1.0.tar.gz(r-4.6-any)
marbounds_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
marbounds/json (API)
NEWS

# Install 'marbounds' in R:
install.packages('marbounds', repos = c('https://mrubinst757.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mrubinst757/marbounds/issues

On CRAN:

Conda:

2.00 score 9 scripts 4 exports 14 dependencies

Last updated from:8de5a7666f. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK114
source / vignettesOK168
linux-release-x86_64OK114
macos-release-arm64OK144
macos-oldrel-arm64OK158
windows-develOK100
windows-releaseOK67
windows-oldrelOK85
wasm-releaseOK108

Exports:estimate_nuisancemar_boundsmultiplier_bootstrap_gridpsi_naive

Dependencies:bitopscaToolscodetoolscvAUCdata.tableforeachgamgplotsgtoolsiteratorsKernSmoothnnlsROCRSuperLearner