  Process data refer to data recorded in the log files of computer-based items.
These data, represented as timestamped action sequences, keep track of
respondents' response processes of solving the items. Process data analysis
aims at enhancing educational assessment accuracy and serving other assessment
purposes by utilizing the rich information contained in response processes. The
R package ProcData presented in this article is designed to provide tools for
processing, describing, and analyzing process data. We define an S3 class
"proc" for organizing process data and extend generic methods summary and print
for class "proc". Two feature extraction methods for process data are
implemented in the package for compressing information in the irregular
response processes into regular numeric vectors. ProcData also provides
functions for fitting and making predictions from a neural-network-based
sequence model. These functions call relevant functions in package keras for
constructing and training neural networks. In addition, several response
process generators and a real dataset of response processes of the climate
control item in the 2012 Programme for International Student Assessment are
included in the package.
