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MIIPW

0.1.2

IPW and Mean Score Methods for Time-Course Missing Data

0packages depend
3.4Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Atanu BhattacharjeeFirst published 2021-06-233 releasesCRAN page ↗

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.

Install

Health

CRAN checks
13OK
Slowest check: 3.6 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
5
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-05-02
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 2 earlier snapshots
  • ERROR2026-04-25
    11 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
10%
Documented parameters
100%
Return-value docs
76%
References docs
50%

Downloads

3.4K
CRAN downloads in the past year
Rank #13,749 · ~9/day · ~282/mo
Daily download trend is not available in this view yet.
16130 days
74490 days
3.4K1 year
Compare downloads with other packages →
Also on122 r2u12 autocran16 c2d4u

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)
Depends (3)
R >= 2.10lme4spatstat
Imports (3)
miceMatrixMASS
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (3)
Maintainer (1)
Author, Maintainer, Contributor
Authors (3)
Author, Maintainer, Contributor
Author, Contributor
Author, Contributor
Contributors (3)
Author, Maintainer, Contributor
Author, Contributor
Author, Contributor
Package Timeline

3 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.2Latest
    2025-04-21 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 0.1.1
    2023-02-14 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 0.1.0
    2021-06-23
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2021-06-23
Total releases
3 / 5 yrs
License
GPL-3 OSI
Minimum R
≥ 2.10
Bundled data
9.7 KB / 1 file
Download size
56 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("MIIPW")
Bhattacharjee, A., Rajbongshi, B. K., & Vishwakarma, G. K. (2025). MIIPW: IPW and Mean Score Methods for Time-Course Missing Data (Version 0.1.2) [Computer software]. https://doi.org/10.32614/CRAN.package.MIIPW

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for MIIPW version 0.1.2 [Data set]. HJJB, LLC. Data release v2026-08-17. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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