Package: accmv 0.1.1

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.

Authors:Gang Cheng [aut, cre], Yen-Chi Chen [aut], Maureen A. Smith [aut], Ying-Qi Zhao [aut]

accmv_0.1.1.tar.gz
accmv_0.1.1.zip(r-4.7-any)accmv_0.1.1.zip(r-4.6-any)accmv_0.1.1.zip(r-4.5-any)
accmv_0.1.1.tgz(r-4.6-any)accmv_0.1.1.tgz(r-4.5-any)
accmv_0.1.1.tar.gz(r-4.7-any)accmv_0.1.1.tar.gz(r-4.6-any)
accmv_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
accmv/json (API)

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

Bug tracker:https://github.com/mathcg/accmv/issues

On CRAN:

Conda:

ipwmissing-datamnarpythonstatistics

2.70 score 28 exports 0 dependencies

Last updated from:0f2ed31508. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK100
source / vignettesOK170
linux-releaseOK106
macos-releaseOK166
macos-oldrelOK143
windows-develOK72
windows-releaseOK53
windows-oldrelOK56
wasm-releaseOK96

Exports:accmv_dataaccmv_ipw_weightsbootstrap_accmv_multiplebootstrap_accmv_singlebootstrap_regressionestimate_accmv_multipleestimate_accmv_singlefit_accmv_regressionipw_regressionmultiple_bootstrapmultiple_data_preparationmultiple_ipwmultiple_ipw_sensitivitymultiple_mr_averagemultiple_mr_indicatormultiple_mr_productmultiple_ra_averagemultiple_ra_indicatormultiple_ra_productsimulate_accmv_multiplesimulate_accmv_regressionsimulate_accmv_singlesingle_bootstrapsingle_data_preparationsingle_ipwsingle_ipw_sensitivitysingle_multiply_robustsingle_regression_adjustment

Dependencies:

Readme and manuals

Help Manual

Help pageTopics
Inference with Available Complete-Case Missing Valuesaccmv-package accmv
Prepare ACCMV Dataaccmv_data multiple_data_preparation single_data_preparation
Bootstrap ACCMV Estimatorsbootstrap_accmv_multiple bootstrap_accmv_single bootstrap_regression multiple_bootstrap single_bootstrap
ACCMV Estimatorsaccmv_ipw_weights estimate_accmv_multiple estimate_accmv_single ipw_regression multiple_ipw multiple_ipw_sensitivity multiple_mr_average multiple_mr_indicator multiple_mr_product multiple_ra_average multiple_ra_indicator multiple_ra_product single_ipw single_ipw_sensitivity single_multiply_robust single_regression_adjustment
Fit an ACCMV-Weighted Marginal Linear Modelfit_accmv_regression
Print an ACCMV Regression Resultprint.accmv_regression_result
Print an ACCMV Resultprint.accmv_result
Paper Simulation Designssimulate_accmv_multiple simulate_accmv_regression simulate_accmv_single