accelmissing-package: Missing Value Imputation for Accelerometer Data

accelmissing-packageR 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


accelmissing documentation built on June 8, 2025, 1:54 p.m.