CRAN/E | sendigR

sendigR

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

Installation

About

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'.

github.com/phuse-org/sendigR
System requirements Python(>=3.9.6)
Bug report File report

Key Metrics

Version 1.0.0
R ≥ 4.1.0
Published 2022-08-18 624 days ago
Needs compilation? no
License MIT
License File
CRAN checks sendigR results

Downloads

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Maintainer

Maintainer

Wenxian Wang

wenxian.wang@bms.com

Authors

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

Material

README
Reference manual
Package source

Vignettes

Introduction to sendigR
Using xptcleaner

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

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

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