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FLORAL (development version)

  • Improves stability when fitting Fine-Gray model with longitudinal covariates.

  • Enables parallel computation for cross-validation.

  • Fixes several bugs as reported in Issues.

FLORAL 0.2.0

CRAN release: 2023-07-05

  • Including more examples in document compared to CRAN version (

  • Enables elastic net models. Users can specify the weight of lasso penalty using argument a. (

  • Allows adding non-compositional covariates which are not constrained by the zero-sum constraint. (

  • Adds a function mcv.FLORAL() to perform multiple runs of k-fold cross-validation to summarize selection probabilities for features. (

  • Adds a function a.FLORAL() to compare different choices of elastic net weight a for a fixed cross-validation setting. (

FLORAL 0.1.0

CRAN release: 2023-05-11

  • Initial release.