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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "fda.vi" in publications use:'
type: software
license: MIT
title: 'fda.vi: Functional Data Analysis using Variational Inference'
version: 1.0.0
abstract: 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.' <https://doi.org/10.48550/arXiv.2405.20758>.
authors:
- family-names: Souza
  given-names: Camila
  name-particle: de
  email: camila.souza@uwo.ca
- family-names: Kinsey
  given-names: Stephen
- family-names: Cruz
  given-names: Ana Carolina
  name-particle: da
- family-names: Toledo Oliveira Sousa
  given-names: Pedro Henrique
repository: https://cran.r-universe.dev
repository-code: https://github.com/desouzalab/fda.vi
commit: df608237a86a48b81c1f53928ceafc87305c1d7d
url: https://github.com/desouzalab/fda.vi
date-released: '2026-06-20'
contact:
- family-names: Souza
  given-names: Camila
  name-particle: de
  email: camila.souza@uwo.ca