Provides baseline functions for actigraphy and activity data.
    This package is intended to be extended by downstream overlays such as
    'actiread', 'actimetrics', and  'stepcount'.

Reads *.agd files exported from 'ActiGraph' devices;
  implements the Troiano (2008) <doi:10.1249/mss.0b013e31815a51b3> and
  Choi (2011) <doi:10.1249/MSS.0b013e3181ed61a3> algorithms for
  detecting periods on non-wear;
  implements the Sadeh (1994) <doi:10.1093/sleep/17.3.201> and
  Cole-Kripke (1992) <doi:10.1093/sleep/15.5.461> algorithms for
  detecting asleep/awake state
  and the Tudor-Locke (2014) <doi:10.1139/apnm-2013-0173> algorithm
  to detect sleep periods from asleep/awake states.

A tool to obtain activity counts, originally a translation of the 
  'python' package 'agcounts' <https://github.com/actigraph/agcounts>. This tool
  allows the processing of data from any accelerometer brand, with a more flexible 
  approach to handle different sampling frequencies.

Provides baseline functions for reading actigraphy and activity
    data, relying on baseline functions from 'actibase'.  Reads data from 
    'Axivity' 'CWA' <https://axivity.com/> , 
    ActiGraph 'GT3X' <https://ametris.com/actigraph-wgt3x-bt>, 
    'SensorLog' <https://sensorlog.berndthomas.net/>, and 
    'SensorLogger' <https://www.tszheichoi.com/sensorlogger> zipped CSV files.

A tool to analyse 'ActiGraph' accelerometer data and to implement 
    the use of the PROactive Physical Activity in COPD (chronic obstructive pulmonary disease) instruments. Once analysis
    is completed, the app allows to export results to .csv files and to generate
    a report of the measurement. All the configured inputs relevant for interpreting
    the results are recorded in the report. In addition to the existing 'R' packages 
    that are fully integrated with the app, the app uses some functions from the 
    'actigraph.sleepr' package developed by Petkova (2021) <https://github.com/dipetkov/actigraph.sleepr/>.

This contains helpful functions for parsing, managing, plotting, and
    visualizing activities, most often from GPX (GPS Exchange Format) files
    recorded by GPS devices. It allows easy parsing of the source files into
    standard R data formats, along with functions to compute derived data for
    the activity, and to plot the activity in a variety of ways.