Package: MIIPW 0.1.1

MIIPW: IPW and Mean Score Methods for Time-Course Missing Data

Contains functions for data analysis of Repeated measurement using GEE. Data may contain missing value in response and covariates. For parameter estimation through Fisher Scoring algorithm, Mean Score and Inverse Probability Weighted method combining with Multiple Imputation are used when there is missing value in covariates/response. Reference for mean score method, inverse probability weighted method is Wang et al(2007)<doi:10.1093/biostatistics/kxl024>.

Authors:Atanu Bhattacharjee [aut, cre, ctb], Bhrigu Kumar Rajbongshi [aut, ctb], Gajendra K Vishwakarma [aut, ctb]

MIIPW_0.1.1.tar.gz
MIIPW_0.1.1.zip(r-4.5)MIIPW_0.1.1.zip(r-4.4)MIIPW_0.1.1.zip(r-4.3)
MIIPW_0.1.1.tgz(r-4.4-any)MIIPW_0.1.1.tgz(r-4.3-any)
MIIPW_0.1.1.tar.gz(r-4.5-noble)MIIPW_0.1.1.tar.gz(r-4.4-noble)
MIIPW_0.1.1.tgz(r-4.4-emscripten)MIIPW_0.1.1.tgz(r-4.3-emscripten)
MIIPW.pdf |MIIPW.html
MIIPW/json (API)

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

Peer review:

Datasets:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 2 scripts 219 downloads 14 exports 60 dependencies

Last updated 2 years agofrom:2a74cf88f4. Checks:OK: 5 NOTE: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 29 2024
R-4.5-winNOTEOct 29 2024
R-4.5-linuxNOTEOct 29 2024
R-4.4-winOKOct 29 2024
R-4.4-macOKOct 29 2024
R-4.3-winOKOct 29 2024
R-4.3-macOKOct 29 2024

Exports:AIPWMeanScoremiAIPWmiSIPWprint_ipwprint_meanscoreQICmiipwSIPWsummary_ipwsummary_meanscoreupdateALphaupdateBetaUpdatePhiupdateSandW

Dependencies:backportsbitbit64bootbroomclicliprcodetoolscpp11crayondplyrfansiforcatsforeachgenericsglmnetgluehavenhmsiteratorsjomolatticelifecyclelme4magrittrMASSMatrixmiceminqamitmlnlmenloptrnnetnumDerivordinalpanpillarpkgconfigprettyunitsprogresspurrrR6RcppRcppEigenreadrrlangrpartshapestringistringrsurvivaltibbletidyrtidyselecttzdbucminfutf8vctrsvroomwithr

Introduction to MIIPW

Rendered frommiipw.Rmdusingknitr::rmarkdownon Oct 29 2024.

Last update: 2023-02-13
Started: 2023-02-13