Package: PRA 0.4.0

Paul Govan

PRA: Project Risk Analysis

Data analysis for Project Risk Management via the Second Moment Method, Monte Carlo Simulation, Contingency Analysis, Sensitivity Analysis, Earned Value Management, Learning Curves, Bayesian Methods, and more.

Authors:Paul Govan [aut, cre, cph]

PRA_0.4.0.tar.gz
PRA_0.4.0.zip(r-4.7)PRA_0.4.0.zip(r-4.6)PRA_0.4.0.zip(r-4.5)
PRA_0.4.0.tgz(r-4.6-any)PRA_0.4.0.tgz(r-4.5-any)
PRA_0.4.0.tar.gz(r-4.7-any)PRA_0.4.0.tar.gz(r-4.6-any)
PRA_0.4.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
PRA/json (API)
NEWS

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

Bug tracker:https://github.com/paulgovan/pra/issues

Pkgdown/docs site:https://paulgovan.github.io

On CRAN:

Conda:

archivedpackagesr-universe

4.36 score 5 stars 13 scripts 513 downloads 31 exports 80 dependencies

Last updated from:de47c46195 (on package/PRA). Checks:9 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK183
source / vignettesOK259
linux-release-x86_64OK186
macos-release-arm64OK98
macos-oldrel-arm64OK140
windows-develOK180
windows-releaseOK173
windows-oldrelOK159
wasm-releaseOK147

Exports:acadd_documentsbuild_knowledge_basecontingencycor_matrixcost_pdfcost_post_pdfcpicveacetcevfit_sigmoidalgrandparent_dsmmcsparent_dsmplot_sigmoidalpra_apppra_chatpra_toolspredict_sigmoidalpvretrieve_contextrisk_post_probrisk_probsensitivitysmmspisvtcpivac

Dependencies:abindbackportsbootbroomcarcarDataclicolorspacecorrplotcowplotcpp11DerivdoBydplyrfarverforecastFormulafracdiffgenericsggplot2ggpubrggrepelggsciggsignifgluegridExtragtableisobandlabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmc2dmgcvmicrobenchmarkminpack.lmminqamodelrmvtnormnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpolynompurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangrstatixS7scalesSparseMstringistringrsurvivaltibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrzoo

Agentic Risk Analysis

Rendered fromagent.Rmdusingknitr::rmarkdownon May 17 2026.

Last update: 2026-05-17
Started: 2026-05-17

Bayesian Methods

Rendered fromBayes.Rmdusingknitr::rmarkdownon May 17 2026.

Last update: 2026-05-17
Started: 2026-05-17

Design Structure Matrices

Rendered fromDSM.Rmdusingknitr::rmarkdownon May 17 2026.

Last update: 2026-05-17
Started: 2026-05-17

Earned Value Management

Rendered fromevm.Rmdusingknitr::rmarkdownon May 17 2026.

Last update: 2026-05-17
Started: 2026-05-17

Learning Curves

Rendered fromsigmoidal.Rmdusingknitr::rmarkdownon May 17 2026.

Last update: 2026-05-17
Started: 2026-05-17

Monte Carlo Simulation

Rendered fromMCS.Rmdusingknitr::rmarkdownon May 17 2026.

Last update: 2026-05-17
Started: 2026-05-17

Second Moment Method

Rendered fromSMM.Rmdusingknitr::rmarkdownon May 17 2026.

Last update: 2026-05-17
Started: 2026-05-17

Readme and manuals