Package: quantro Title: A test for when to use quantile normalization Version: 1.46.0 Authors@R: c( person("Stephanie", "Hicks", role = c("aut", "cre"), email = "shicks19@jhu.edu", comment = c(ORCID = "0000-0002-7858-0231")), person("Rafael", "Irizarry", role = "aut", comment = c(ORCID = "0000-0002-3944-4309"))) Imports: Biobase, minfi, doParallel, foreach, iterators, ggplot2, methods, RColorBrewer Depends: R (>= 4.0) Suggests: rmarkdown, knitr, RUnit, BiocGenerics, BiocStyle VignetteBuilder: knitr RoxygenNote: 6.0.1 Encoding: UTF-8 Description: A data-driven test for the assumptions of quantile normalization using raw data such as objects that inherit eSets (e.g. ExpressionSet, MethylSet). Group level information about each sample (such as Tumor / Normal status) must also be provided because the test assesses if there are global differences in the distributions between the user-defined groups. License: GPL-3 biocViews: Normalization, Preprocessing, MultipleComparison, Microarray, Sequencing Config/pak/sysreqs: make libbz2-dev libicu-dev liblzma-dev libpng-dev libxml2-dev libssl-dev libx11-dev xz-utils zlib1g-dev Repository: Bioconductor 3.23 Date/Publication: 2026-04-28 12:39:34 UTC RemoteUrl: https://github.com/bioc/quantro RemoteRef: RELEASE_3_23 RemoteSha: 63d0c19178934f2f770026e48f895e40ad44b241 NeedsCompilation: no Packaged: 2026-10-01 12:10:28 UTC; root Author: Stephanie Hicks [aut, cre] (ORCID: ), Rafael Irizarry [aut] (ORCID: ) Maintainer: Stephanie Hicks