assign_branch_vals | Assign Branching Values to Decision Tree |
assign_branch_values | Wrapper to Assign Branching Values to Decision Tree |
calc_expectedValues | Calculate Expected Values for Each Node of Decision Tree |
calc_pathway_probs | Calculate Total Pathway Probabilities of Decision Tree |
calc_riskprofile | Calculate Risk Profile |
costeffectiveness_tree | Constructor for a Cost-Effectiveness Tree Object |
decision | Calculate Optimal Decision |
fill_in_missing_tree_probs | Fill-in Missing Tree Probabilities |
f_NodeUniform | f_NodeUniform |
get_sd_from_normalCI | Get Standard Deviation from Normal Confidence Interval |
get_start_state_proportions | Get Start State Proportions |
meanNodeUniform | Mean of a data.tree uniform node |
means_distributions | Means values from distributions |
MoM_beta | Method of Moments Beta Distribution Parameter Transformation |
MoM_gamma | Method of Moments Gamma Distribution Parameter Transformation |
MonteCarlo_expectedValues | Monte Carlo Forward Simulation of Decision Tree |
myPruneFun | Prune Tree |
Nodelabel | Node label |
payoff | Calculate Weighted Expectations |
print.costeffectiveness_tree | Print Method for Cost-Effectiveness Trees |
rbeta_more_params | rbeta_more_params |
rgamma_more_params | rgamma_more_params |
rpert | Sample from Beta-PERT Distribution |
sample_distributions | Sample from Standard Distributions |
sampleNode | Sample a data.tree Node |
sampleNodeUniform | Sample a data.tree uniform node |
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