accelmissing-package {accelmissing} | R Documentation |
Missing Value Imputation for Accelerometer Data
Description
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.
Details
Package: | accelmissing |
Type: | Package |
Version: | 2.2 |
Date: | 2025-05-30 |
License: | GPL (>=2) |
Author(s)
Jung Ae Lee <jungae.lee@umassmed.edu>
Maintainer: Jung Ae Lee <jungaeleeb@gmail.com>
References
Lee JA, Gill J (2016). Missing value imputation for physical activity data measured by accelerometer. Statistical Methods and Medical Research.
See Also
mice
, pscl
[Package accelmissing version 2.2 Index]