accmv: Inference with Available Complete-Case Missing Values

Implements inverse probability weighted, regression adjustment, and multiply robust estimators under the available complete-case missing value assumption of Cheng, Chen, Smith, and Zhao (2022) <doi:10.48550/arXiv.2207.02289>. Supports one or two primary variables, exponential-tilt sensitivity analysis, regression weights, and nonparametric bootstrap confidence intervals.

Version: 0.1.1
Depends: R (≥ 4.1.0)
Suggests: testthat (≥ 3.0.0)
Published: 2026-09-29
DOI: 10.32614/CRAN.package.accmv (may not be active yet)
Author: Gang Cheng [aut, cre], Yen-Chi Chen [aut], Maureen A. Smith [aut], Ying-Qi Zhao [aut]
Maintainer: Gang Cheng <mathchenggang at gmail.com>
BugReports: https://github.com/mathcg/ACCMV/issues
License: MIT + file LICENSE
URL: https://github.com/mathcg/ACCMV, https://arxiv.org/abs/2207.02289
NeedsCompilation: no
Citation: accmv citation info
CRAN checks: accmv results

Documentation:

Reference manual: accmv.html , accmv.pdf

Downloads:

Package source: accmv_0.1.1.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): accmv_0.1.1.tgz, r-oldrel (arm64): accmv_0.1.1.tgz, r-release (x86_64): accmv_0.1.1.tgz, r-oldrel (x86_64): accmv_0.1.1.tgz

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