Package: PRA 0.3.0
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, Design Structure Matrices, and more.
Authors:
PRA_0.3.0.tar.gz
PRA_0.3.0.zip(r-4.5)PRA_0.3.0.zip(r-4.4)PRA_0.3.0.zip(r-4.3)
PRA_0.3.0.tgz(r-4.5-any)PRA_0.3.0.tgz(r-4.4-any)PRA_0.3.0.tgz(r-4.3-any)
PRA_0.3.0.tar.gz(r-4.5-noble)PRA_0.3.0.tar.gz(r-4.4-noble)
PRA_0.3.0.tgz(r-4.4-emscripten)PRA_0.3.0.tgz(r-4.3-emscripten)
PRA.pdf |PRA.html✨
PRA/json (API)
NEWS
# Install 'PRA' in R: |
install.packages('PRA', repos = c('https://paulgovan.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/paulgovan/pra/issues
Pkgdown site:https://paulgovan.github.io
causal-networkscontingency-analysismonte-carlo-simulationrisk-analysissensitivity-analysis
Last updated 4 months agofrom:cd4948781f. Checks:8 OK. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Mar 03 2025 |
R-4.5-win | OK | Mar 03 2025 |
R-4.5-mac | OK | Mar 03 2025 |
R-4.5-linux | OK | Mar 03 2025 |
R-4.4-win | OK | Mar 03 2025 |
R-4.4-mac | OK | Mar 03 2025 |
R-4.3-win | OK | Mar 03 2025 |
R-4.3-mac | OK | Mar 03 2025 |
Exports:accontingencycor_matrixcpicveacevfit_sigmoidalgrandparent_dsmmcsparent_dsmpredict_sigmoidalpvsensitivitysmmspisv
Dependencies:abindbackportsbootbroomcarcarDataclicolorspacecorrplotcowplotcpp11DerivdoBydplyrfansifarverFormulagenericsggplot2ggpubrggrepelggsciggsignifgluegridExtragtableisobandlabelinglatticelifecyclelme4magrittrMASSMatrixMatrixModelsmc2dmgcvmicrobenchmarkminpack.lmminqamodelrmunsellmvtnormnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpolynompurrrquantregR6rbibutilsRColorBrewerRcppRcppEigenRdpackreformulasrlangrstatixscalesSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr
Earned Value Management
Rendered fromevm.Rmd
usingknitr::rmarkdown
on Mar 03 2025.Last update: 2024-12-03
Started: 2024-07-21
Monte Carlo Simulation
Rendered fromMCS.Rmd
usingknitr::rmarkdown
on Mar 03 2025.Last update: 2024-12-03
Started: 2024-07-20
Second Moment Method
Rendered fromSMM.Rmd
usingknitr::rmarkdown
on Mar 03 2025.Last update: 2024-11-22
Started: 2024-06-20
Learning Curves
Rendered fromsigmoidal.Rmd
usingknitr::rmarkdown
on Mar 03 2025.Last update: 2024-12-03
Started: 2024-07-24
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Actual Cost (AC). | ac |
Contingency Calculation. | contingency |
Generate Correlation Matrix. | cor_matrix |
Cost Performance Index (CPI). | cpi |
Cost Variance (CV). | cv |
Estimate at Completion (EAC). | eac |
Earned Value (EV). | ev |
Fit a Sigmoidal Model. | fit_sigmoidal |
Risk-based 'Grandparent' Design Structure Matrix (DSM). | grandparent_dsm |
Monte Carlo Simulation. | mcs |
Resource-based 'Parent' Design Structure Matrix (DSM). | parent_dsm |
Predict a Sigmoidal Function. | predict_sigmoidal |
Planned Value (PV). | pv |
Sensitivity Analysis. | sensitivity |
Second Moment Analysis. | smm |
Schedule Performance Index (SPI). | spi |
Schedule Variance (SV). | sv |