accelmissing 1.1

Missing Value Imputation for Accelerometer Data

Released Jul 6, 2016 by Jung Ae Lee

This package can be loaded by Renjin but 3 out 10 tests failed.


pscl 1.5.2 mice 2.46.0

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.



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    <name>bedatadriven public repo</name>

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Test Results

This package was last tested against Renjin 0.8.2543 on Dec 17, 2017.



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