mdsstat: Statistical Trending for Medical Devices Surveillance

A collection of common statistical algorithms used in active surveillance of medical device events. Context includes post-market surveillance, pharmacovigilance, signal detection and trending, and regulatory reporting. Primary inputs are device-event time series. Outputs include trending results with the ability to run multiple algorithms at once. This package works well with the 'mds' package, but does not require it.

Version: 0.3.0
Depends: R (≥ 2.10)
Imports: utils, stats, lubridate, mds
Suggests: testthat, knitr
Published: 2019-04-11
Author: Gary Chung [aut, cre], Zhiheng Xu [ctb] (derived code for `cp_mean()`), Stephane Bottine [ctb] (derived code from 'SPRT' package), Ismaïl Ahmed [ctb] (derived code from 'PhViD' package), John Ihrie [ctb] (derived code from 'openEBGM' package)
Maintainer: Gary Chung <gchung05 at gmail.com>
License: GPL-3
NeedsCompilation: no
Materials: README NEWS
CRAN checks: mdsstat results

Downloads:

Reference manual: mdsstat.pdf
Vignettes: Medical Device Surveillance Statistical Trending
Package source: mdsstat_0.3.0.tar.gz
Windows binaries: r-devel: mdsstat_0.3.0.zip, r-release: mdsstat_0.3.0.zip, r-oldrel: mdsstat_0.3.0.zip
OS X binaries: r-release: mdsstat_0.3.0.tgz, r-oldrel: mdsstat_0.2.2.tgz
Old sources: mdsstat archive

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