A system enables cross study Analysis by extracting and filtering study data for control animals from 'CDISC' 'SEND' Study Repository. These data types are supported: Body Weights, Laboratory test results and Microscopic findings. These database types are supported: 'SQLite' and 'Oracle'.
Version: 1.0.0 Depends: R (≥ 4.1.0) Imports: RSQLite, data.table, readxl, magrittr, xfun, stringr, DescTools, parsedate, shiny, shinydashboard, htmltools, DT, dplyr, ggplot2, Hmisc, haven, plotly, cicerone, reticulate, sjlabelled Suggests: knitr, rmarkdown, logr, shinycssloaders, testthat Published: 2022-08-18 DOI: 10.32614/CRAN.package.sendigR Author: Bo Larsen [aut], Yousuf Ali [aut], Kevin Snyder [aut], William Houser [aut], Brianna Paisley [aut], Cmsabbir Ahmed [aut], Susan Butler [aut], Michael Rosentreter [aut], Michael Denieu [aut], Wenxian Wang [cre, aut], BioCelerate [cph] Maintainer: Wenxian Wang <wenxian.wang at bms.com> BugReports: https://github.com/phuse-org/sendigR/issues License: MIT + file LICENSE URL: https://github.com/phuse-org/sendigR NeedsCompilation: no SystemRequirements: Python(>=3.9.6) Materials: README CRAN checks: sendigR results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=sendigR to link to this page.
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