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Adding a function phy_to_floral_data which helps
convert a phyloseq object to be compatible with
FLORAL.
Adding a corresponding vignette for
phy_to_floral_data.
Introducing the new GEE model for longitudinal continuous and binary outcomes. More documentations to follow in the next 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.
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
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 weight a for a fixed
cross-validation setting. (0.1.0.9001)
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.