Decision-Analytic Modeling Package
Adds aesthetics to all plots to reduce code duplication
Calculate alpha and beta parameters of beta distribution.
Expected Value of Perfect Information (EVPI)
Estimation of the Expected Value of Partial Perfect Information (EVPPI...
Calculate Expected Value of Sample Information (EVSI)
Calculate the expected loss at a range of willingness-to-pay threshold...
Calculate incremental cost-effectiveness ratios from a psa object.
Calculate incremental cost-effectiveness ratios (ICERs)
A function that is used to calculate all outcomes
Cost-Effectiveness Acceptability Curve (CEAC)
compute icers for non-dominated strategies
Create one-way deterministic sensitivity analysis object
Create one-way deterministic sensitivity analysis object
A generic sensitivity analysis object
Calculate alpha parameters of Dirichlet distribution.
Calculate shape and scale (or rate) parameters of a gamma distribution...
Generate PSA Sample
check that object is owsa object
used to automatically label continuous scales
Calculate location and scale parameters of a log-normal distribution.
make a parameter sequence
Create a PSA object
Linear regression metamodeling
Build formula and run linear regression for metamodel
Number of ticks for ggplot2 plots
transformation for owsa_tornado
plot the optimal strategy as the parameter values change
Tornado plot of a one-way sensitivity analysis
One-way sensitivity analysis
Plot of Cost-Effectiveness Acceptability Curves (CEAC)
Plot of Expected Value of Perfect Information (EVPI)
Plot of Expected Value of Partial Perfect Information (EVPPI)
Plot of Expected Value of Sample Information (EVSI)
Plot of Expected Loss Curves (ELC)
Plot of ICERs
Plot a sensitivity analysis
Plot the psa object
Two-way sensitivity analysis plot
Function to compute the preposterior for each of the basis functions o...
Predict matrix tensor smooth (GA)
Function to compute the preposterior for each of the basis functions o...
Predict from a one-way or two-way metamodel
Print metamodel
print a psa object
Random number generation for the Dirichlet distribution with parameter...
Run deterministic one-way sensitivity analysis (OWSA)
Calculate outcomes for a PSA using a user-defined function.
Run deterministic two-way sensitivity analysis (TWSA)
Summarize a ceac
Summary of metamodel
summarize a psa object across all simulations
Two-way sensitivity analysis using linear regression metamodeling
Wrapper function for owsa_det and twsa_det
A suite of functions for analyzing and visualizing the health economic outputs of mathematical models. This package was developed with funding from the National Institutes of Allergy and Infectious Diseases of the National Institutes of Health under award no. R01AI138783. The content of this package is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. The theoretical underpinnings of 'dampack''s functionality are detailed in Hunink et al. (2014) <doi:10.1017/CBO9781139506779>.