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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 |
| Reference manual: | accelmissing.pdf |
| 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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