Package: ceas Title: Cellular Energetics Analysis Software Version: 1.3.0 Authors@R: c( person("Rachel", "House", email = "rachel.house@vai.org", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-2176-0431")), person("James P.", "Eapen", email = "james.eapen@vai.org", role = c("aut"), comment = c(ORCID = "0000-0001-6016-3598")), person("Hui", "Shen", email = "hui.shen@vai.org", role = c("fnd"), comment = c(ORCID = "0000-0001-9767-4084")), person("Carrie R.", "Graveel", email = "carrie.graveel@vai.org", role = c("fnd"), comment = c(ORCID = "0000-0001-7251-5642")), person("Matthew R.", "Steensma", email = "matthew.steensma@vai.org", role = c("fnd"), comment = c(ORCID = "0000-0002-9003-6730")), person("Van Andel Institute", role = c("cph"))) Description: Measuring cellular energetics is essential to understanding a matrix’s (e.g. cell, tissue or biofluid) metabolic state. The Agilent Seahorse machine is a common method to measure real-time cellular energetics, but existing analysis tools are highly manual or lack functionality. The Cellular Energetics Analysis Software (ceas) R package fills this analytical gap by providing modular and automated Seahorse data analysis and visualization using the methods described by Mookerjee et al. (2017) . URL: https://jamespeapen.github.io/ceas/, https://github.com/jamespeapen/ceas/ BugReports: https://github.com/jamespeapen/ceas/issues/ Imports: data.table, ggplot2, lme4, readxl, stats Encoding: UTF-8 Roxygen: list(markdown = TRUE) RoxygenNote: 7.3.2 License: MIT + file LICENSE Suggests: knitr, rmarkdown, testthat (>= 3.0.0) VignetteBuilder: knitr Config/testthat/edition: 3 Config/pak/sysreqs: cmake make Repository: https://jamespeapen.r-universe.dev Date/Publication: 2024-12-20 20:39:04 UTC RemoteUrl: https://github.com/jamespeapen/ceas RemoteRef: HEAD RemoteSha: f638894b1d9cb792d1133aeb8b889a31981460f6 NeedsCompilation: no Packaged: 2026-09-20 07:53:56 UTC; root Author: Rachel House [aut, cre] (ORCID: ), James P. Eapen [aut] (ORCID: ), Hui Shen [fnd] (ORCID: ), Carrie R. Graveel [fnd] (ORCID: ), Matthew R. Steensma [fnd] (ORCID: ), Van Andel Institute [cph] Maintainer: Rachel House Depends: R (>= 4.1.0)