Package index • PRA

All functions

ac(): Actual Cost (AC).
building_project: Mid-Rise Commercial Building Construction Project
contingency(): Contingency Calculation.
cor_matrix(): Generate Correlation Matrix from Random Samples.
cost_pdf(): Cost Probability Density.
cost_post_pdf(): Posterior Cost Probability Density.
cpi(): Cost Performance Index (CPI).
cv(): Cost Variance (CV).
eac(): Estimate at Completion (EAC).
etc(): Estimate to Complete (ETC).
ev(): Earned Value (EV).
fit_sigmoidal(): Fit a Sigmoidal Model to Data.
grandparent_dsm(): Risk-based 'Grandparent' Design Structure Matrix (DSM).
mcs(): Monte Carlo Simulation.
parent_dsm(): Resource-based 'Parent' Design Structure Matrix (DSM).
plot(<dsm>): Plot a DSM heatmap.
plot(<mcs>): Plot Monte Carlo Simulation results.
plot(<pra_sigmoidal_fit>): Plot a sigmoidal model fit.
plot(<prob_net>): Plot a probabilistic network.
plot(<smm>): Plot Second Moment Method results.
plot_sigmoidal(): Plot a Fitted Sigmoidal Model.
pra_mcp_server(): Start a PRA MCP Server
pra_tools(): Create PRA Tool Definitions for LLM Agent
predict_sigmoidal(): Predict a Sigmoidal Function Using Fitted Model.
print(<dsm>): Print a DSM object.
print(<mcs>): Print method for Monte Carlo Simulation results.
print(<pra_sigmoidal_fit>): Print method for Sigmoidal Model
print(<prob_net>): Print a probabilistic network.
print(<smm>): Print method for SMM results.
print(<summary.dsm>): Print a DSM summary.
print(<summary.mcs>): Print a Monte Carlo Simulation summary.
print(<summary.pra_sigmoidal_fit>): Print a sigmoidal model fit summary.
print(<summary.prob_net>): Print a probabilistic network summary.
print(<summary.smm>): Print a Second Moment Method summary.
prob_net(): Probabilistic Network of Project Risks.
prob_net_learn(): Perform Bayesian Learning on a Probabilistic Network of Project Risks.
prob_net_sim(): Perform Inference on a Probabilistic Network of Project Risks.
prob_net_update(): Update a Probabilistic Network of Project Risks.
pv(): Planned Value (PV).
risk_post_prob(): Posterior Risk Probability.
risk_prob(): Bayesian Inference for Risk Probability.
sensitivity(): Sensitivity Analysis.
smm(): Second Moment Method Analysis.
spi(): Schedule Performance Index (SPI).
summary(<dsm>): Summarize a DSM object.
summary(<mcs>): Summarize Monte Carlo Simulation results.
summary(<pra_sigmoidal_fit>): Summarize a sigmoidal model fit.
summary(<prob_net>): Summarize a probabilistic network.
summary(<smm>): Summarize Second Moment Method results.
sv(): Schedule Variance (SV).
tcpi(): To-Complete Performance Index (TCPI).
vac(): Variance at Completion (VAC).