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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | catfda_0.1.0.tar.gz |
58.0 KiB |
0.1.0 |
rolling linux/noble R-4.5 | catfda_0.1.0.tar.gz |
58.0 KiB |
0.1.0 |
rolling source/ R- | catfda_0.1.0.tar.gz |
13.7 KiB |
0.1.0 |
latest linux/jammy R-4.5 | catfda_0.1.0.tar.gz |
58.0 KiB |
0.1.0 |
latest linux/noble R-4.5 | catfda_0.1.0.tar.gz |
58.0 KiB |
0.1.0 |
latest source/ R- | catfda_0.1.0.tar.gz |
13.7 KiB |
0.1.0 |
2026-04-23 source/ R- | catfda_0.1.0.tar.gz |
0 B |