Decision-Analytic Modeling Package

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Documentation for package ‘dampack’ version 1.0.2.1000

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

beta_params	Calculate alpha and beta parameters of beta distribution.
calculate_icers	Calculate incremental cost-effectiveness ratios (ICERs)
calculate_icers_psa	Calculate incremental cost-effectiveness ratios from a 'psa' object.
calc_evpi	Expected Value of Perfect Information (EVPI)
calc_evppi	Estimation of the Expected Value of Partial Perfect Information (EVPPI) using a linear regression metamodel approach
calc_evsi	Calculate Expected Value of Sample Information (EVSI)
calc_exp_loss	Calculate the expected loss at a range of willingness-to-pay thresholds
ceac	Cost-Effectiveness Acceptability Curve (CEAC)
create_dsa_oneway	Create one-way deterministic sensitivity analysis object
create_dsa_twoway	Create one-way deterministic sensitivity analysis object
dirichlet_params	Calculate alpha parameters of Dirichlet distribution.
example_psa	Sample PSA data for testing
example_psa_obj	Sample PSA data for testing
gamma_params	Calculate shape and scale (or rate) parameters of a gamma distribution.
gen_psa_samp	Generate PSA Sample
hund_strat	Sample deterministic data for testing
lnorm_params	Calculate location and scale parameters of a log-normal distribution.
make_psa_obj	Create a PSA object
metamodel	Linear regression metamodeling
number_ticks	Number of ticks for 'ggplot2' plots
owsa	One-way sensitivity analysis
owsa_opt_strat	plot the optimal strategy as the parameter values change
owsa_tornado	Tornado plot of a one-way sensitivity analysis
plot.evpi	Plot of Expected Value of Perfect Information (EVPI)
plot.evppi	Plot of Expected Value of Partial Perfect Information (EVPPI)
plot.evsi	Plot of Expected Value of Sample Information (EVSI)
plot.exp_loss	Plot of Expected Loss Curves (ELC)
plot.icers	Plot of ICERs
plot.owsa	Plot a sensitivity analysis
plot.psa	Plot the psa object
plot.twsa	Two-way sensitivity analysis plot
predict.metamodel	Predict from a one-way or two-way metamodel
print.metamodel	Print metamodel
print.sa	print a psa object
psa_cdiff	Sample PSA dataset
rdirichlet	Random number generation for the Dirichlet distribution with parameter vector alpha.
run_owsa_det	Run deterministic one-way sensitivity analysis (OWSA)
run_psa	Calculate outcomes for a PSA using a user-defined function.
run_twsa_det	Run deterministic two-way sensitivity analysis (TWSA)
summary.metamodel	Summary of metamodel
summary.psa	summarize a psa object across all simulations
twsa	Two-way sensitivity analysis using linear regression metamodeling