Provides functions to fit speed-accuracy psychometric models
for binomial count outcome data. The models jointly represent accuracy
and response time and can be used for model-based calibration and scoring
of oral reading fluency (ORF) assessment data. The methods are based on
Potgieter, Kamata and Kara (2017) <doi:10.48550/arXiv.1705.10446>
and Kara, Kamata, Potgieter and Nese (2020)
<doi:10.1177/0013164419900208>.
| Version: |
1.2.6 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
tibble, rootSolve, tidyverse, tidyr, magrittr, doParallel, foreach, stringr, futile.logger, mvtnorm, nleqslv, tryCatchLog, parallel, miscTools, psych, dplyr, plotly, Matrix, statmod |
| Suggests: |
knitr, rstan, BH, RcppEigen, runjags, rjags, rmarkdown, testthat (≥ 3.0.0) |
| Published: |
2026-11-12 |
| DOI: |
10.32614/CRAN.package.bspam (may not be active yet) |
| Author: |
Kuo Wang  [aut,
cre],
Akihito Kamata
[aut, ctb],
Cornelis J. Potgieter
[aut],
Joseph F. T. Nese
[aut],
Yusuf Kara [aut],
Sarunya Somsong
[aut],
Xin Qiao [aut] |
| Maintainer: |
Kuo Wang <wangkuo at nifty.com> |
| BugReports: |
https://github.com/kamataak/bspam/issues |
| License: |
GPL (≥ 3) |
| URL: |
https://kamataak.github.io/bspam/,
https://github.com/kamataak/bspam |
| NeedsCompilation: |
no |
| Materials: |
README |
| CRAN checks: |
bspam results |