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: 1.1
Depends: R (≥ 2.10), mice, pscl
Published: 2016-07-06
Author: Jung Ae Lee
Maintainer: Jung Ae Lee <jungaeleeb at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: accelmissing results

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Reference manual: accelmissing.pdf
Package source: accelmissing_1.1.tar.gz
Windows binaries: r-devel: accelmissing_1.1.zip, r-release: accelmissing_1.1.zip, r-oldrel: accelmissing_1.1.zip
OS X Mavericks binaries: r-release: accelmissing_1.1.tgz, r-oldrel: accelmissing_1.1.tgz
Old sources: accelmissing archive

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