https://daikikumakura.r-universe.devRecent package updates in daikikumakuraR-universehttps://github.com/daikikumakura.pnghttps://daikikumakura.r-universe.devMon, 19 Oct 2026 14:39:33 GMT55353329+daikikumakura@users.noreply.github.com (Daiki Kumakura)A read-only preflight for Python environment selection with reticulate. Identifies explicit overrides, project-local environment hints, and conflicts with a requested managed environment. Produces a report that omits local paths and environment values. Does not initialize Python, discover interpreters, install software, or modify configuration.https://github.com/r-universe/daikikumakura/actions/runs/39316878176Mon, 19 Oct 2026 14:39:33 GMTretiaudit0.1.0successhttps://daikikumakura.r-universe.devhttps://github.com/DaikiKumakura/retiaudit55353329+daikikumakura@users.noreply.github.com (Daiki Kumakura)Determines which parameters of pharmacokinetic and pharmacodynamic ordinary differential equation models can be identified from a given dosing and observation design, and which added measurement would make the others identifiable. Decisions are local and are stated as such.https://github.com/r-universe/daikikumakura/actions/runs/39316870248Mon, 19 Oct 2026 14:39:30 GMTpkident0.1.0successhttps://daikikumakura.r-universe.devhttps://github.com/DaikiKumakura/pkidentpsa-regrowth.Rmdpsa-regrowth.htmlCase study: how long must PSA be followed to estimate regrowth?2026-10-05 04:54:322026-10-05 04:54:32nimotuzumab-tmdd.Rmdnimotuzumab-tmdd.htmlCase study: nimotuzumab target-mediated disposition2026-10-05 04:54:322026-10-05 04:54:32reference-models.Rmdreference-models.htmlStructural identifiability of reference PK/PD models2026-10-05 04:54:322026-10-05 04:54:3255353329+daikikumakura@users.noreply.github.com (Daiki Kumakura)A command-line and R interface for reproducible downstream analysis of RSEM gene-level expression estimates. 'rsemflow' imports '*.genes.results' files together with ordinary sample metadata, computes expression-level summaries, normalization, principal component analysis, sample correlation, 'DESeq2' differential expression, preranked gene set enrichment analysis, 'GSVA' or 'ssGSEA' pathway scores, and Ensembl gene annotation. Every result is written as a tab-separated table; the package does not draw figures.https://github.com/r-universe/daikikumakura/actions/runs/39185285357Sun, 18 Oct 2026 23:48:59 GMTrsemflow0.1.1successhttps://daikikumakura.r-universe.devhttps://github.com/DaikiKumakura/rsemflowdesigns.Rmddesigns.htmlDifferential-expression designs2026-10-05 13:22:432026-10-05 13:22:43rsemflow.Rmdrsemflow.htmlGet started with rsemflow2026-10-05 13:22:432026-10-05 13:22:43installation.Rmdinstallation.htmlInstallation2026-10-05 13:22:432026-10-05 13:22:43tutorial.Rmdtutorial.htmlTutorial: a complete command-line analysis2026-10-05 13:22:432026-10-05 13:22:43