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-4.5)pvm_1.0.zip(r-4.4)pvm_1.0.zip(r-4.3)
pvm_1.0.tgz(r-4.4-x86_64)pvm_1.0.tgz(r-4.4-arm64)pvm_1.0.tgz(r-4.3-x86_64)pvm_1.0.tgz(r-4.3-arm64)
pvm_1.0.tar.gz(r-4.5-noble)pvm_1.0.tar.gz(r-4.4-noble)
pvm_1.0.tgz(r-4.4-emscripten)pvm_1.0.tgz(r-4.3-emscripten)
pvm.pdf |pvm.html
pvm/json (API)

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

Peer review:

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:

pharmacovigilance

3.27 score 25 stars 15 scripts 17 exports 17 dependencies

Last updated 17 days agofrom:44429e0422. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 06 2024
R-4.5-win-x86_64OKNov 06 2024
R-4.5-linux-x86_64OKNov 06 2024
R-4.4-win-x86_64OKNov 06 2024
R-4.4-mac-x86_64OKNov 06 2024
R-4.4-mac-aarch64OKNov 06 2024
R-4.3-win-x86_64OKNov 06 2024
R-4.3-mac-x86_64OKNov 06 2024
R-4.3-mac-aarch64OKNov 06 2024

Exports:BCPNNchi2TestconvertRawReports2TablescreateTabledbinbinomfisherExactTestfitPriorParametersGPSGPSLASSOloglikelihood2NegativeBinomiallogLikelihoodRatioBinomialnearPoissonTestPRRRORRRRYulesQ

Dependencies:codacodetoolsforeachglmnetiteratorslatticeMASSMatrixMatrixModelsmcmcMCMCpackquantregRcppRcppEigenshapeSparseMsurvival