Package MIMSunit details

Algorithm to Compute Monitor Independent Movement Summary Unit (MIMS-Unit)

The MIMS-unit algorithm is developed to compute Monitor Independent Movement Summary Unit, a measurement to summarize raw accelerometer data while ensuring harmonized results across different devices. It also includes scripts to reproduce results in the related publication (John, D., Tang. Q., Albinali, F. and Intille, S. (2019) ).

Maintainer: Qu Tang < tang.q at >


From within R, enter citation('MIMSunit')

If you used the MIMSunit package or referred to the MIMSunit algorithm
in publications, please kindly cite our work using:

John, D., Tang, Q., Albinali, F. and Intille, S., 2019. An
Open-Source Monitor-Independent Movement Summary for Accelerometer
Data Processing. Journal for the Measurement of Physical Behaviour,
2(4), pp.268-281.

A BibTeX entry for LaTeX users is

author = {Dinesh John and Qu Tang and Albinali Fahd and Stephen Intille},
title = {An Open-Source Monitor-Independent Movement Summary for Accelerometer Data Processing},
journal = {Journal of Measuring Physical Behaviors},
year = {2019},
volume = {2},
number = {4},
pages = {268--281},
url = {},


If you have any problems with this package you can open a new issue or check the already existing ones here.

  Versions(Pending - no previous version)
To install this package, start R and enter:


# Default Install

# from GitHub
osler_install('MIMSunit', release = "stable", release_repo = "github")
osler_install('MIMSunit', release = "current", release_repo = "github")

More detailed installation instructions can be found here.


Initially submitted on April 28 2021 10:00AM
Last updated on April 28 2021 10:00AM
Package type standard
Source GitHub GitHub
OslerinHealth GitHub GitHub
System requirementsmemory (>= 4GB) Ubuntu: build-essential, libxml2-dev, libssl-dev, libcurl4-openssl-dev Windows: Rtools (>= 3.5)
DependsR (3.6.0)
ImportscaTools (, tibble (3.0.4), dplyr (0.7.7), lubridate (1.7.4), magrittr (1.5), matlab (1.0.2), plyr (1.8.4), readr (1.1.1), R.utils (2.7.0), signal(>=0.7-6), stringr (1.3.1), xts(>=0.11-2), dygraphs (, shiny (, RColorBrewer(>=1.1-2), utils (3.6.1), ggplot2 (3.2.1)
Suggeststestthat, pkgdown, gridExtra, remotes