Package: catfda 0.1.0

Chathura Jayalath

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>.

Authors:Xiaoxia Champon [aut], Ana-Maria Staicu [aut], Chathura Jayalath [aut, cre], Anthony Weishampel [ctb], William Rand [ctb]

catfda_0.1.0.tar.gz
catfda_0.1.0.zip(r-4.7-any)catfda_0.1.0.zip(r-4.6-any)catfda_0.1.0.zip(r-4.5-any)
catfda_0.1.0.tgz(r-4.6-any)catfda_0.1.0.tgz(r-4.5-any)
catfda_0.1.0.tar.gz(r-4.7-any)catfda_0.1.0.tar.gz(r-4.6-any)
catfda_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
catfda/json (API)

# Install 'catfda' in R:
install.packages('catfda', repos = c('https://xiaoxiachampon.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/xiaoxiachampon/catfda/issues

On CRAN:

Conda:

4.02 score 3 stars 7 scripts 426 downloads 8 exports 11 dependencies

Last updated from:5ff5e93b68. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK126
source / vignettesOK142
linux-releaseOK109
macos-releaseOK146
macos-oldrelOK158
windows-develOK49
windows-releaseOK65
windows-oldrelOK72
wasm-releaseOK82

Exports:estimate_categ_func_dataestimate_categ_func_data_binomial_parallelestimate_categ_func_data_multinomialestimate_categ_func_data_multinomial_parallelestimate_categ_func_data_probitestimate_categ_func_data_probit_parallelgenerate_categ_func_dataget_x_from_w

Dependencies:codetoolsdigestdoRNGforeachiteratorslatticeMatrixmgcvnlmerlangrngtools