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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "accmv" in publications use:'
type: software
license: MIT
title: 'accmv: Inference with Available Complete-Case Missing Values'
version: 0.1.1
identifiers:
- type: doi
  value: 10.32614/CRAN.package.accmv
abstract: 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) <https://doi.org/10.48550/arXiv.2207.02289>.
  Supports one or two primary variables, exponential-tilt sensitivity analysis, regression
  weights, and nonparametric bootstrap confidence intervals.
authors:
- family-names: Cheng
  given-names: Gang
  email: mathchenggang@gmail.com
- family-names: Chen
  given-names: Yen-Chi
- family-names: Smith
  given-names: Maureen A.
- family-names: Zhao
  given-names: Ying-Qi
preferred-citation:
  type: generic
  title: Handling Nonmonotone Missing Data with Available Complete-Case Missing Value
    Assumption
  authors:
  - family-names: Cheng
    given-names: Gang
    email: mathchenggang@gmail.com
  - family-names: Chen
    given-names: Yen-Chi
  - family-names: Smith
    given-names: Maureen A.
  - family-names: Zhao
    given-names: Ying-Qi
  year: '2022'
  notes: arXiv:2207.02289
  url: https://arxiv.org/abs/2207.02289
repository: https://mathcg.r-universe.dev
repository-code: https://github.com/mathcg/ACCMV
commit: 0f2ed315085db8ed2d4a8378dea7820cc6f0b04a
url: https://arxiv.org/abs/2207.02289
date-released: '2026-09-19'
contact:
- family-names: Cheng
  given-names: Gang
  email: mathchenggang@gmail.com