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>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
In views: MissingData
CRAN checks: accelmissing results


Reference manual: accelmissing.pdf


Package source: accelmissing_1.4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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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