Package: SPsimSeq Title: Semi-parametric simulation tool for bulk and single-cell RNA sequencing data Version: 1.23.0 Authors@R: c(person(given = "Alemu Takele", family = "Assefa", role = c("aut"), email = "alemutak@hotmail.com"), person(given = "Olivier", family = "Thas", role = c("ths"), email = "Olivier.Thas@ugent.be"), person(given = "Joris", family = "Meys", role = c("cre"), email = "Joris.Meys@ugent.be"), person(given = "Stijn", family = "Hawinkel", role = c("aut"), email = "stijnhawinkel@hotmail.com")) Description: SPsimSeq uses a specially designed exponential family for density estimation to constructs the distribution of gene expression levels from a given real RNA sequencing data (single-cell or bulk), and subsequently simulates a new dataset from the estimated marginal distributions using Gaussian-copulas to retain the dependence between genes. It allows simulation of multiple groups and batches with any required sample size and library size. License: GPL-2 Encoding: UTF-8 LazyData: true URL: https://github.com/CenterForStatistics-UGent/SPsimSeq Imports: stats, methods, SingleCellExperiment, fitdistrplus, graphics, edgeR, Hmisc, WGCNA, limma, mvtnorm, phyloseq, utils biocViews: GeneExpression, RNASeq, SingleCell, Sequencing, DNASeq RoxygenNote: 7.1.0 Suggests: knitr, rmarkdown, LSD, testthat, BiocStyle VignetteBuilder: knitr Depends: R (>= 4.0) Config/pak/sysreqs: cmake libglpk-dev make libicu-dev libuv1-dev libxml2-dev zlib1g-dev Repository: https://bioc.r-universe.dev Date/Publication: 2026-04-28 12:52:57 UTC RemoteUrl: https://github.com/bioc/SPsimSeq RemoteRef: HEAD RemoteSha: 72d88fe83edbdf2bcbcc993a08bdec977ca35ca3 NeedsCompilation: no Packaged: 2026-07-04 08:06:26 UTC; root Author: Alemu Takele Assefa [aut], Olivier Thas [ths], Joris Meys [cre], Stijn Hawinkel [aut] Maintainer: Joris Meys