ProcData: Process Data Analysis
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'.
| Version: |
0.3.2 |
| Depends: |
R (≥ 3.5) |
| Imports: |
Rcpp (≥ 0.12.16), keras (≥ 2.2.4) |
| LinkingTo: |
Rcpp |
| Published: |
2021-04-01 |
| Author: |
Xueying Tang [aut, cre],
Susu Zhang [aut],
Zhi Wang [aut],
Jingchen Liu [aut],
Zhiliang Ying [aut] |
| Maintainer: |
Xueying Tang <xueyingtang1989 at gmail.com> |
| BugReports: |
https://github.com/xytangtang/ProcData/issues |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
yes |
| SystemRequirements: |
Python (>= 2.7), Keras (>= 2.0), TensorFlow (>=
1.13) |
| Materials: |
README NEWS |
| CRAN checks: |
ProcData results |
Documentation:
Downloads:
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