accelmissing-package: accelmissing

In accelmissing: Missing Value Imputation for Accelerometer Data

Description

This packages provides a statistical method to impute the missing values in accelerometer data. The methodology includes both parametric and semi-parametric multiple imputations under the zero-inflated poisson lognormal model. It also provides multiple functions to preprocess the accelerometer data previous to the missing data imputation. These includes detecting wearing and nonwearing time, selecting valid days and subjects, and creating plots.

Details

Package:	accelmissing
Type:	Package
Version:	1.4
Date:	2018-04-04
License:	GPL (>=2)

Author(s)

Jung Ae Lee <[e-mail]>

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 May 2, 2019, 1:44 p.m.