Author: Leena Choi, Zhouwen Liu, Charles E. Matthews, and Maciej S. Buchowski
Description: This package contains functions to classify monitor wear and nonwear time intervals in accelerometer data collected to assess physical activity in free-living condition. The package also contains functions to make plot for accelerometer data, and to obtain the summary of daily monitor wear time and the mean of monitor wear time during valid days. A monitored day is considered valid if the total minutes of classified monitor wear time per day is greater than a user defined cutoff.
Packaged: 2011-11-15 22:07:31 UTC; leenachoi

Title: Process Accelerometer Data for Physical Activity Measurement
person("Charles E.", "Matthews", role = "aut"),
person("Maciej S.", "Buchowski", role = "aut"))
Description: It provides a function "wearingMarking" for classification of monitor
wear and nonwear time intervals in accelerometer data collected to assess
physical activity. The package also contains functions for making plot for
accelerometer data and obtaining the summary of various information including
daily monitor wear time and the mean monitor wear time during valid days.
The revised package version 0.2-1 improved the functions in the previous version
regarding speed and robustness. In addition, several functions were added:
"markDelivery" can classify days for ActiGraph delivery by mail;
"markPAI" can categorize physical activity intensity level based on user-defined
cut-points of accelerometer counts. It also supports importing ActiGraph AGD files
with "readActigraph" and "queryActigraph" functions. The package also better supports
Packaged: 2018-05-18 17:09:28 UTC; leenachoi

"deliveryPred" and "markDelivery" can classify days for ActiGraph delivery by mail;
"deliveryPreprocess" can process accelerometry data for analysis by zeropadding incomplete
days and removing low activity days; "markPAI" can categorize physical activity
intensity level based on user-defined cut-points of accelerometer counts. It also
supports importing ActiGraph AGD files with "readActigraph" and "queryActigraph" functions.
Suggests: RSQLite, DBI, data.table, e1071, keras, randomForest,
Packaged: 2021-01-22 17:38:24 UTC; leenachoi