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 |
| Reference manual: | sendigR.pdf |
| Vignettes: |
Introduction to sendigR Using xptcleaner |
| Package source: | sendigR_1.0.0.tar.gz |
| Windows binaries: | r-devel: sendigR_1.0.0.zip, r-release: sendigR_1.0.0.zip, r-oldrel: sendigR_1.0.0.zip |
| macOS binaries: | r-release (arm64): sendigR_1.0.0.tgz, r-oldrel (arm64): sendigR_1.0.0.tgz, r-release (x86_64): sendigR_1.0.0.tgz, r-oldrel (x86_64): sendigR_1.0.0.tgz |
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