| accelmissing-package | R Documentation |
We present a statistical method for imputing missing values in accelerometer data. The methodology includes both parametric and semi-parametric multiple imputation under the zero-inflated Poisson lognormal model. It also offers several functions to preprocess accelerometer data before imputation. These include detecting wear and non-wear time, selecting valid days and subjects, and generating plots.
| Package: | accelmissing |
| Type: | Package |
| Version: | 2.2 |
| Date: | 2025-05-30 |
| License: | GPL (>=2) |
Jung Ae Lee <jungae.lee@umassmed.edu>
Maintainer: Jung Ae Lee <jungaeleeb@gmail.com>
Lee JA, Gill J (2016). Missing value imputation for physical activity data measured by accelerometer. Statistical Methods and Medical Research.
mice, pscl
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