Enable Cross-Study Analysis of 'CDISC' 'SEND' Datasets R package sendigR version 1.0.0 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'. Software 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 Wenxian Wang <wenxian.wang@bms.com> Comprehensive R Archive Network (CRAN) 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] MIT + file LICENSE (https://CRAN.R-project.org/package=sendigR/LICENSE) 2022-08-18 application/tgz https://CRAN.R-project.org/package=sendigR doi:10.32614/CRAN.package.sendigR