accelmissing: Missing Value Imputation for Accelerometer Data

Imputation for the missing count values in accelerometer data. The methodology includes both parametric and semi-parametric multiple imputations under the zero-inflated Poisson lognormal model. This package also provides multiple functions to pre-process the accelerometer data previous to the missing data imputation. These includes detecting wearing and non-wearing time, selecting valid days and subjects, and creating plots.

Version:	1.4
Depends:	R (≥ 2.10), mice, pscl
Published:	2018-04-06
DOI:	10.32614/CRAN.package.accelmissing
Author:	Jung Ae Lee
Maintainer:	Jung Ae Lee <jungaeleeb at gmail.com>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
In views:	MissingData
CRAN checks:	accelmissing results

Documentation:

Reference manual:

accelmissing.pdf

Downloads:

Package source:	accelmissing_1.4.tar.gz
Windows binaries:	r-devel: accelmissing_1.4.zip, r-release: accelmissing_1.4.zip, r-oldrel: accelmissing_1.4.zip
macOS binaries:	r-release (arm64): accelmissing_1.4.tgz, r-oldrel (arm64): accelmissing_1.4.tgz, r-release (x86_64): accelmissing_1.4.tgz, r-oldrel (x86_64): accelmissing_1.4.tgz
Old sources:	accelmissing archive

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