catfda: Statistical Analysis for Categorical Functional Data
Implements methods for estimating latent Gaussian processes from
categorical functional data using binomial, probit, or multinomial GAM-based
approaches, and for clustering individuals via multivariate functional principal
component scores. Methods are described in Champon et al. (2026)
<doi:10.1080/01621459.2026.2672226>.
| Version: |
0.1.0 |
| Imports: |
mgcv (≥ 1.8-40), stats, rlang (≥ 1.0.0), foreach (≥ 1.5.0), doRNG (≥ 1.8.0) |
| Suggests: |
doParallel, testthat (≥ 3.0.0) |
| Published: |
2026-09-08 |
| DOI: |
10.32614/CRAN.package.catfda (may not be active yet) |
| Author: |
Xiaoxia Champon [aut],
Ana-Maria Staicu [aut],
Chathura Jayalath 
[aut, cre],
Anthony Weishampel [ctb],
William Rand [ctb] |
| Maintainer: |
Chathura Jayalath <acj.chathura at gmail.com> |
| BugReports: |
https://github.com/XiaoxiaChampon/catfda/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/XiaoxiaChampon/catfda |
| NeedsCompilation: |
no |
| Materials: |
README, NEWS |
| CRAN checks: |
catfda results |
Documentation:
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