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sendigR: Enable Cross-Study Analysis of 'CDISC' 'SEND' Datasets

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:

Reference manual: sendigR.pdf
Vignettes: Introduction to sendigR
Using xptcleaner

Downloads:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=sendigR to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.