FLORAL 0.3.0
CRAN release: 2024-08-20
Improves stability when fitting Fine-Gray model with longitudinal covariates.
Enables parallel computation for cross-validation.
Fixes several bugs as reported in Issues.
Adding options to use user-specified pseudo counts
Adding options to use user-specified number of maximum number of iterations
Adding a simulation scenario for survival regression models with longitudinal features
(BETA version of) the new GEE method
FLORAL 0.2.0
CRAN release: 2023-07-05
Including more examples in document compared to CRAN version (0.1.0.9000)
Enables elastic net models. Users can specify the weight of lasso penalty using argument
a. (0.1.0.9001)Allows adding non-compositional covariates which are not constrained by the zero-sum constraint. (0.1.0.9001)
Adds a function
mcv.FLORAL()to perform multiple runs of k-fold cross-validation to summarize selection probabilities for features. (0.1.0.9001)Adds a function
a.FLORAL()to compare different choices of elastic net weightafor a fixed cross-validation setting. (0.1.0.9001)