| 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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