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.