Changes in version 1.1.0 (2026-03-04) New features - Renamed package to methFuse to avoid name conflict in CRAN New features - Added fuse.cluster() support for BSseq and methrix objects - Added fuse.segment() support for BSseq and methrix objects - Unified S3 API: fuse.cluster(K0, K1) and fuse.segment(K0, K1) now supported - fuse.cluster() now returns an hclust object Improvements - Improved internal argument normalization for matrix inputs - Expanded test coverage for Bioconductor classes Bug fixes - Fixed incorrect handling of positional K1 arguments in S3 methods - Fixed bug in plotting - Now works in Windows OS Changes in version 1.0.0 New features - Added plot.fuse_summary() S3 method for visualization of FUSE segmentation results. - Segment plots now display: - Horizontal segment-level methylation estimates - Per-segment average beta values - Optional per-CpG methylation values overlaid as background points - Added support for flexible segment selection when plotting (segments_to_plot). Improvements - Promoted package to first stable release (1.0.0). - Improved input validation and error handling across exported functions. - Improved S3 method registration and namespace imports. - Improved vignette robustness and reproducibility during package checks. - Updated documentation to reflect current plotting and summary capabilities. Bug fixes - Fixed S3 dispatch issues affecting plot() during vignette building. - Fixed lazy-load and installation issues caused by partial rebuilds. - Fixed edge cases in beta computation when counts sum to zero. - Fixed the swapped TRUE/FALSE labels for coherent segments in fuse.summary(). Changes in version 0.0.0.9000 Initial development release - Implemented core FUSE pipeline: - fuse.cluster() - number.of.clusters() - fuse.cut.tree() - fuse.summary() - fuse.segment() (full pipeline wrapper) - Included basic example data files for testing. - Added introductory README and MIT license. - Added full example workflow as an R Markdown vignette (example.Rmd). - Enabled automatic pkgdown site deployment via GitHub Actions.