Package: ProcData
Type: Package
Title: Process Data Analysis
Version: 0.3.2
Date: 2021-03-24
Authors@R: c(
    person("Xueying", "Tang", email = "xueyingtang1989@gmail.com", role = c("aut", "cre")),
    person("Susu", "Zhang", email = "susu.zhang1992@gmail.com", role = c("aut")),
    person("Zhi", "Wang", email = "zhiwpku@gmail.com", role=c("aut")),
    person("Jingchen", "Liu", email = "jcliu@stat.columbia.edu", role=c("aut")),
    person("Zhiliang", "Ying", email = "zying@stat.columbia.edu", role=c("aut")))
Description: Provides tools for exploratory process data analysis. Process data refers to the data describing
    participants' problem-solving processes in computer-based assessments. It is often recorded in computer
    log files. This package provides functions to read, process, and write process data. It also implements
    two feature extraction methods to compress the information stored in process data into standard 
    numerical vectors. This package also provides recurrent neural network based models that relate response processes 
    with other binary or scale variables of interest. The functions that involve training and evaluating neural networks 
    are wrappers of functions in 'keras'.
BugReports: https://github.com/xytangtang/ProcData/issues
License: GPL (>= 2)
Depends: R (>= 3.5)
Imports: Rcpp (>= 0.12.16), keras (>= 2.2.4)
LinkingTo: Rcpp
SystemRequirements: Python (>= 2.7), Keras (>= 2.0), TensorFlow (>=
        1.13)
RoxygenNote: 7.1.0
LazyData: true
NeedsCompilation: yes
Packaged: 2021-03-25 05:31:36 UTC; xueyingtang
Author: Xueying Tang [aut, cre],
  Susu Zhang [aut],
  Zhi Wang [aut],
  Jingchen Liu [aut],
  Zhiliang Ying [aut]
Maintainer: Xueying Tang <xueyingtang1989@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-01 12:50:09 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-25 20:45:05 UTC; unix
Archs: ProcData.so.dSYM
