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 |
| 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 |
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