Package: fda.vi
Title: Functional Data Analysis using Variational Inference
Version: 1.0.0
Authors@R: c(
    person("Camila", "de Souza", ,"camila.souza@uwo.ca", role = "cre"),
    person("Stephen", "Kinsey", role = "aut"),
    person("Ana Carolina", "da Cruz", role = "aut"),
    person("Pedro Henrique", "Toledo Oliveira Sousa", role = "aut"))
Maintainer: Camila de Souza <camila.souza@uwo.ca>
Description: Implements a variational Expectation-Maximization (VEM) algorithm
    for smoothing one or multiple functional observations via basis function
    selection. The algorithm estimates all model parameters simultaneously and
    automatically, while accounting for within-curve correlation. The approach
    provides a flexible and computationally efficient framework for smoothing
    correlated functional data. The algorithm is described in da Cruz, A. C., 
    de Souza, C. P., and Sousa, P. H. (2024). 'Fast Bayesian basis selection for
    functional data representation with correlated errors.'
    <doi:10.48550/arXiv.2405.20758>. 
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: stats, graphics, fda, MASS, scales
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
Config/testthat/edition: 3
LazyData: true
VignetteBuilder: knitr
URL: https://github.com/desouzalab/fda.vi
BugReports: https://github.com/desouzalab/fda.vi/issues
Config/roxygen2/version: 8.0.0
NeedsCompilation: no
Packaged: 2026-05-26 15:06:52 UTC; carol
Author: Camila de Souza [cre],
  Stephen Kinsey [aut],
  Ana Carolina da Cruz [aut],
  Pedro Henrique Toledo Oliveira Sousa [aut]
Repository: CRAN
Date/Publication: 2026-06-20 14:10:14 UTC
Built: R 4.7.0; ; 2026-06-20 23:50:57 UTC; windows
