Package: pvm 1.0

Louis Dijkstra

pvm: PharmacoVigilance Methods

A collection of methods used in the field of pharmacovigilance for the dectection of 'interesting' drug-adverse event pairs from spontaneous reporting data.

Authors:Louis Dijkstra [aut, cre], Marco Garling [ctb]

pvm_1.0.tar.gz
pvm_1.0.zip(r-4.7)pvm_1.0.zip(r-4.6)pvm_1.0.zip(r-4.5)
pvm_1.0.tgz(r-4.6-x86_64)pvm_1.0.tgz(r-4.6-arm64)pvm_1.0.tgz(r-4.5-x86_64)pvm_1.0.tgz(r-4.5-arm64)
pvm_1.0.tar.gz(r-4.7-arm64)pvm_1.0.tar.gz(r-4.7-x86_64)pvm_1.0.tar.gz(r-4.6-arm64)pvm_1.0.tar.gz(r-4.6-x86_64)
pvm_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
pvm/json (API)

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

Bug tracker:https://github.com/bips-hb/pvm/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • srdata - A Simulated Spontaneous Reporting System

On CRAN:

Conda:

pharmacovigilancecpp

3.72 score 33 stars 16 scripts 17 exports 17 dependencies

Last updated from:4a88f65f83. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK174
linux-devel-x86_64OK131
source / vignettesOK160
linux-release-arm64OK180
linux-release-x86_64OK127
macos-release-arm64OK166
macos-release-x86_64OK200
macos-oldrel-arm64OK97
macos-oldrel-x86_64OK324
windows-develOK113
windows-releaseOK118
windows-oldrelOK106
wasm-releaseOK105

Exports:BCPNNchi2TestconvertRawReports2TablescreateTabledbinbinomfisherExactTestfitPriorParametersGPSGPSLASSOloglikelihood2NegativeBinomiallogLikelihoodRatioBinomialnearPoissonTestPRRRORRRRYulesQ

Dependencies:codacodetoolsforeachglmnetiteratorslatticeMASSMatrixMatrixModelsmcmcMCMCpackquantregRcppRcppEigenshapeSparseMsurvival