Package index • pacheck

All functions

calculate_ceac(): Calculate cost-effectiveness probabilities for two strategies.
calculate_ceac_mult(): Calculate cost-effectiveness probabilities.
calculate_nb(): Calculate NMB and NHB for two strategies.
calculate_nb_mult(): Calculate NMB and NHB.
check_binary(): Check binary
check_mean_qol(): Check mean quality of life
check_positive(): Check whether variables are strictly positive
check_psa_darth(): Check PSA inputs & outputs
check_range(): Check range
check_sum_probs(): Check sum probabilities
check_sum_vars(): Check sum variables
check_surv_mod(): Check parametric survival models
df_ckd_inputs: A dataframe containing probabilistic inputs for testing
df_ckd_results: A dataframe containing probabilistic outputs for testing
df_iviRA_pa: Dataframe of inputs and outputs of a health economic model developed and evaluated with the iviRA R package for testing
df_pa: Dataframe for testing
df_pa_psm: Dataframe for testing
do_check(): Perform a check
do_discount_check(): Perform discounted and undiscounted results check
do_quick_check(): Perform quick checks of inputs and outputs
estimate_decision_sensitivity(): Estimate decision sensitivy DSA using linear metamodel
fit_dist(): Fit distribution to parameter
fit_lasso_metamodel(): Fit LASSO metamodel
fit_lm_metamodel(): Fit linear metamodel
fit_rf_metamodel(): Fit random forest metamodel
generate_cor(): Generate correlation matrix
generate_det_inputs(): Generate deterministic model inputs.
generate_pa_inputs(): Generate probabilistic model inputs.
generate_pa_inputs_psm(): Generate probabilistic model inputs for partitioned survival model.
generate_sum_stats(): Generate summary statistics
l_psa_aaa: A dataframe containing probabilistic inputs for testing
perform_dowsa(): Perform deterministic one-way sensitivity analyses using probabilistic inputs and outputs.
perform_simulation(): Perform the health economic simulation.
perform_simulation_psm(): Perform the health economic simulation using partitioned survival model.
plot_ce(): Plotting cost-effectiveness plane for two strategies.
plot_ce_mult(): Plotting cost-effectiveness plane.
plot_ceac(): Plotting the cost-effectiveness acceptability curves.
plot_convergence(): Plot moving average
plot_ice(): Plotting the incremental cost-effectiveness plane.
plot_nb(): Plot (i)NMB or (i)NHB.
plot_nb_mult(): Plot NMB or NHB.
plot_surv_mod(): Plot parametric survival models
predict_metamodel(): Predict using a fitted metamodel
summary_ice(): Summary statistics of the incremental cost-effectiveness plane.
validate_metamodel(): Validate metamodels
vis_1_param(): Visualise the distribution of a single parameter
vis_2_params(): Visualise the distribution of two parameters