beta_params |
Calculate alpha and beta parameters of beta distribution. |
calculate_icers |
Calculate incremental cost-effectiveness ratios (ICERs) |
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 |
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 |