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

Contains functions for data analysis of Repeated measurement continuous,categorical data using MCMC. Data may contain missing value in response and covariates. Mean Score Method and Inverse Probability Weighted method for parameter estimation when there is missing value in covariates are also included. Reference for mean score method, inverse probability weighted method is Wang et al(2007)<doi:10.1093/biostatistics/kxl024>.

Version:	0.1.0
Depends:	R (≥ 2.10)
Imports:	R2jags, utils, matlib, stats
Published:	2021-06-23
Author:	Atanu Bhattacharjee [aut, cre, ctb], Bhrigu Kumar Rajbongshi [aut, ctb], Gajendra K Vishwakarma [aut, ctb]
Maintainer:	Atanu Bhattacharjee <atanustat at gmail.com>
License:	GPL-3
NeedsCompilation:	no
CRAN checks:	MIIPW results

Documentation:

Reference manual:

MIIPW.pdf

Downloads:

Package source:	MIIPW_0.1.0.tar.gz
Windows binaries:	r-devel: MIIPW_0.1.0.zip, r-release: MIIPW_0.1.0.zip, r-oldrel: MIIPW_0.1.0.zip
macOS binaries:	r-release (arm64): MIIPW_0.1.0.tgz, r-oldrel (arm64): MIIPW_0.1.0.tgz, r-release (x86_64): MIIPW_0.1.0.tgz, r-oldrel (x86_64): MIIPW_0.1.0.tgz

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