https://divo-lee.r-universe.devRecent package updates in divo-leeR-universehttps://github.com/divo-lee.pnghttps://divo-lee.r-universe.devMon, 29 Jun 2026 07:51:40 GMThxli@ynnu.edu.cn (Hongxiang Li)Provides a unified framework for the simultaneous testing of differential expression, variability, and skewness of genes using RNA-Seq data. The framework adopts a compositional data analysis approach for modelling RNA-Seq count data, applies the centered log-ratio transformation to obtain continuous variables, and uses the skew-normal distribution for statistical inference. Methods are described in Li and Khang (bioRxiv preprint, 2024, version 3) <doi:10.1101/2024.04.09.588804>.https://github.com/r-universe/divo-lee/actions/runs/28364359319Mon, 29 Jun 2026 07:51:40 GMTSIEVEseq0.0.0successhttps://divo-lee.r-universe.devhttps://github.com/divo-lee/sieveseqSIEVEseq_Introduction.RmdSIEVEseq_Introduction.pdfSIEVEseq Introduction2026-06-29 06:41:112026-06-29 06:45:12