Package: visae 0.2.1

Marcio A. Diniz

visae: Visualization of Adverse Events

Implementation of 'shiny' app to visualize adverse events based on the Common Terminology Criteria for Adverse Events (CTCAE) using stacked correspondence analysis as described in Diniz et. al (2021)<doi:10.1186/s12874-021-01368-w>.

Authors:Marcio A. Diniz [aut, cre, cph], Michael Luu [aut]

visae_0.2.1.tar.gz


visae_0.2.1.tar.gz(r-4.4-noble)
visae_0.2.1.tgz(r-4.4-emscripten)visae_0.2.1.tgz(r-4.3-emscripten)
visae.pdf |visae.html✨
visae/json (API)
NEWS

# Install 'visae' in R:
install.packages('visae', repos = c('https://dnzmarcio.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/dnzmarcio/visae/issues

On CRAN:

Conda:

4.30 score 1 stars 76 downloads 2 exports 73 dependencies

Last updated 11 days agofrom:6dd72539e2. Checks:1 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 08 2025

Exports:ca_aerun_ca

Dependencies:base64encbslibcacachemclicolorspacecommonmarkcpp11crayoncrosstalkdigestdplyrDTevaluatefansifarverfastmapfontawesomefsgenericsggplot2ggrepelgluegtablehighrhtmltoolshtmlwidgetshttpuvisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmepillarpkgconfigpromisespurrrR6rappdirsRColorBrewerRcpprlangrmarkdownsassscalesshinyshinyjssourcetoolsstringistringrtibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunxtableyaml

Interpreting CA biplots

Rendered fromca_biplots.Rmdusingknitr::rmarkdownon Mar 08 2025.

Last update: 2022-06-09
Started: 2021-11-10