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accmv  

Inference with Available Complete-Case Missing Values
View on CRAN: Click here


Download and install accmv package within the R console
Install from CRAN:
install.packages("accmv")

Install from Github:
library("remotes")
install_github("cran/accmv")

Install by package version:
library("remotes")
install_version("accmv", "0.1.1")



Attach the package and use:
library("accmv")
Maintained by
Gang Cheng
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-09-29
Latest Update: 2026-09-29
Description:
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.
How to cite:
Gang Cheng (2026). accmv: Inference with Available Complete-Case Missing Values. R package version 0.1.1, https://cran.r-project.org/web/packages/accmv. Accessed 25 Oct. 2026.
Previous versions and publish date:
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Complete documentation for accmv
Functions, R codes and Examples using the accmv R package
Full accmv package functions and examples
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