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:Paul Govan [aut, cre, cph]

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

On CRAN:

causal-networks contingency-analysis monte-carlo-simulation risk-analysis sensitivity-analysis

5.64 score 2 stars 8 scripts 141 downloads 17 exports 74 dependencies

Last updated 4 months agofrom:cd4948781f. Checks:9 OK. Indexed: yes.

Target	Result	Latest binary
Doc / Vignettes	OK	Apr 02 2025
R-4.5-win	OK	Apr 02 2025
R-4.5-mac	OK	Apr 02 2025
R-4.5-linux	OK	Apr 02 2025
R-4.4-win	OK	Apr 02 2025
R-4.4-mac	OK	Apr 02 2025
R-4.4-linux	OK	Apr 02 2025
R-4.3-win	OK	Apr 02 2025
R-4.3-mac	OK	Apr 02 2025

Exports:ac contingency cor_matrix cpi cv eac ev fit_sigmoidal grandparent_dsm mcs parent_dsm predict_sigmoidal pv sensitivity smm spi sv

Dependencies:abind backports boot broom car carData cli colorspace corrplot cowplot cpp11 Deriv doBy dplyr fansi farver Formula generics ggplot2 ggpubr ggrepel ggsci ggsignif glue gridExtra gtable isoband labeling lattice lifecycle lme4 magrittr MASS Matrix MatrixModels mc2d mgcv microbenchmark minpack.lm minqa modelr munsell mvtnorm nlme nloptr nnet numDeriv pbkrtest pillar pkgconfig polynom purrr quantreg R6 rbibutils RColorBrewer Rcpp RcppEigen Rdpack reformulas rlang rstatix scales SparseM stringi stringr survival tibble tidyr tidyselect utf8 vctrs viridisLite withr

Earned Value Management

Rendered fromevm.Rmdusingknitr::rmarkdownon Apr 02 2025.

Last update: 2024-12-03
Started: 2024-07-21

Monte Carlo Simulation

Rendered fromMCS.Rmdusingknitr::rmarkdownon Apr 02 2025.

Last update: 2024-12-03
Started: 2024-07-20

Second Moment Method

Rendered fromSMM.Rmdusingknitr::rmarkdownon Apr 02 2025.

Last update: 2024-11-22
Started: 2024-06-20

Learning Curves

Rendered fromsigmoidal.Rmdusingknitr::rmarkdownon Apr 02 2025.

Last update: 2024-12-03
Started: 2024-07-24

Citation

Development and contributors

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