Changes in version 1.0.2                        

  - Added spike-at-zero algorithm for modeling semicontinuous
    covariates.
  - mfp2(): Introduced zero and catzero options to model only the
    positive part of a semicontinuous covariate.
  - mfp2(): family argument now supports GLM family functions (e.g.,
    stats::binomial(link = "probit")) and different link functions.
  - predict.mfp2(): Fixed bug when using type = "response" with the
    binomial family.
  - transform_data_step(): Improved efficiency by transforming a
    variable only when its fractional polynomial power or spike decision
    changes.
  - fracplot(): Extended to allow plotting variables with a spike at
    zero.

                 Changes in version 1.0.1 (2025-05-15)                  

  - Final regression coefficients are now expressed on the original
    scale of the data.
  - predict.mfp2(): Fixed a bug when using type = "terms".
  - predict.mfp2(): Added the nseq argument.
  - mfp2(): Fixed an issue where the keep argument was inactive when
    criterion = "aic" or criterion = "bic".
  - Fixed a bug in BIC calculation for Cox models: nobs now correctly
    uses the number of events rather than the total number of
    observations.
  - Improved documentation for clarity and added references regarding
    the effects of influential points in FP functions.
  - DESCRIPTION: Removed NeedsCompilation field as the package contains
    no native code.

                 Changes in version 1.0.0 (2023-11-14)                  

  - Initial CRAN submission.