Changes in version 1.0.4

    o Corrected README function names to use hurdle.LRT() and
      hurdle.Wald.Test().

Changes in version 1.0.3

    o Improved numerical stability of Hurdle-NB parameter estimation.

    o Added safeguards against non-finite likelihood values during
      BFGS optimization.

    o Improved handling of extreme negative binomial parameters and
      zero-truncation probabilities.

    o Added protection against zero or non-finite initial parameter
      values.

    o Improved initialization of group-specific mean parameters in
      tag-wise dispersion estimation.

    o Added probability clipping to prevent infinite logit
      transformations.

    o Improved robustness of tag-wise dispersion estimation for sparse
      genes and genes with all-zero counts.

Changes in version 1.0.1

    o Initial Bioconductor submission of LRDE.

    o Implements a hurdle negative binomial (Hurdle-NB) model for
      differential expression analysis of long-read RNA-seq data.

    o Includes:
        - Data preparation (prepareDGE)
        - Size factor estimation (sizeFactorsEst)
        - Tag-wise dispersion estimation (tagwiseEst)
        - Differential expression testing via:
            * Likelihood Ratio Test (hurdle.LRT)
            * Wald Test (hurdle.Wald.Test)

    o Supports matrix, data.frame, and SummarizedExperiment inputs.
