Enable Cross-Study Analysis of 'CDISC' 'SEND' Datasets [R package sendigR version 1.0.0]

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年08月18日

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.html , sendigR.pdf

Vignettes: Introduction to sendigR (source, R code)
Using xptcleaner (source, R code)

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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