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MIIPW
View on CRAN: Click
here
Download and install MIIPW package within the R console
Install from CRAN:
install.packages("MIIPW")
Install from Github:
library("remotes")
install_github("cran/MIIPW") Install by package version:
library("remotes")
install_version("MIIPW", "0.1.2") Attach the package and use:
library("MIIPW")
Maintained by
Atanu Bhattacharjee
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-06-23
Latest Update: 2025-04-21
Description:
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).
How to cite:
Atanu Bhattacharjee (2021). MIIPW: IPW and Mean Score Methods for Time-Course Missing Data. R package version 0.1.2, https://cran.r-project.org/web/packages/MIIPW. Accessed 18 Sep. 2026.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for MIIPW
Functions, R codes and Examples using
the MIIPW R package
Some associated functions: agedata . aipw1 . aipw2 . bbern . bgnml . bnpos . bpois . bposa . bprp . brgan . bygan . byran . byrega . byrga . byrgu . catadata . catdata . countdata . mskall . mskopt . propdata . repeatdata . sipw . srdata .
Some associated R codes: AIPW1.R . AIPW2.R . SIPW.R . agedata.R . bbern.R . bgnml.R . bnpos.R . bpois.R . bposa.R . bprp.R . brgan.R . bygan.R . byran.R . byrega.R . byrga.R . byrgu.R . catadata.R . catdata.R . countdata.R . mskAll.R . mskOpt.R . propdata.R . repeatdata.R . srdata.R . Full MIIPW package functions and examples
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