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:

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