Changes in version 2.0.15                        

                        Changes in version 2.0.1                        

  - New feature: DamageDetective now checks entire clusters for evidence
    of damage before simulating artificial damage. Clusters are flagged
    as damaged if their top differentially expressed genes are
    predominantly mitochondrial. This suggests a lack of true biological
    signal, a hallmark of heavily damaged cell populations.

  - Damage score assignment: As a result, cells are now assigned a
    damage score of 1 if they belong to a cluster identified as likely
    damaged. Cells not flagged in this way continue to receive a score
    based on proximity to simulated damaged cells in PC space.

                        Changes in version 2.0.0                        

  - Replaced the .perturb_cells() function with a C++ implementation to
    preserve transcript-level sampling while significantly improving
    runtime. Core functionality remains the same, with the exception of
    C++-based indexing (0-based vs. 1-based in R).
  - Introduced a clustering-based damage detection approach: cells are
    grouped into populations using low-resolution Seurat clustering, and
    extreme cytoplasmic RNA loss is simulated within each group to
    better model realistic damaged profiles.
  - Updated documentation throughout the package to reflect changes in
    methodology, implementation, and usage.

                 Changes in version 1.0.0 (2025-04-03)                  

  - CRAN submission comments have been received and addressed.
  - Fixed DOI formatting.
  - Fixed spacing in the vignette.
  - Ensured code lines are shorter than 80 characters for good practice.

                       Changes in version 0.99.0                        

  - The DamageDetective package has been released and is available for
    installation from GitHub. CRAN submission is in progress.