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: 0.3.1
Depends: R (≥ 2.10)
Imports: utils, stats, lubridate, Sequential, mds
Suggests: testthat, knitr
Published: 2019-05-18
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>
License: GPL-3
NeedsCompilation: no
Materials: README NEWS
CRAN checks: mdsstat results


Reference manual: mdsstat.pdf
Vignettes: Medical Device Surveillance Statistical Trending
Package source: mdsstat_0.3.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: mdsstat_0.3.1.tgz, r-oldrel: mdsstat_0.3.1.tgz
Old sources: mdsstat archive


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