Package index • CEdecisiontree

Total expected values

Functions for calculating the weighted mean values at decision tree nodes.

Cdectree_expected_values(): Cdectree_expected_values
dectree_expected_recursive(): Cost-effectiveness decision tree using recursive approach
dectree_expected_values(): Cost-effectiveness decision tree expected values
dectree(): Decision tree estimation
dectree_expected_default(): Cost-effectiveness decision tree expected values
dectree_expected_recursive2(): Cost-effectiveness decision tree using recursive approach for more than 2 child nodes
run_cedectree(): Run Cost-effectiveness Decision Tree

Transform between formats

Functions for switching between matrix, long or tree representations of a decision tree.

child_list_to_transmat(): Create transition matrix from tree children list
long_to_transmat(): Long format to transition matrix
transmat_to_child_list(): Create tree children list from transition matrix
transmat_to_long(): Transition matrix to long format

All other functions

Miscellaneous tools for manipulating tree values and probabilities.

branch_joint_probs(): Branch Joint Probabilities
create_ce_tree_df(): Create cost-effectiveness decision tree data frame input
create_ce_tree_long_df(): Create Cost-Effectiveness Tree For Long Dataframe
create_psa_inputs(): Create PSA inputs
define_model(): Define decision tree model
fill_complementary_probs(): Fill Complementary Probabilities
get_sd_from_normalCI(): Get Standard Deviation from Normal Confidence Interval
insert_to_transmat() insert_to_costmat() insert_to_probmat(): Insert to transition matrix
is_prob_matrix(): Is object a transition probability matrix?
match_branchlabel_to_prob(): Match branch label to probabilities
match_branch_to_label(): Match branch to label
MoM_beta(): Method of Moments Beta Distribution Parameter Transformation
MoM_gamma(): Method of Moments Gamma Distribution Parameter Transformation
new_transmat() new_tree_dat() new_dat_long(): New Model Constructors
rpert(): Sample from Beta-PERT Distribution
rbeta_more_params(): Helper function for Beta distribution sampling with alternative parameters
rgamma_more_params(): Helper function for Gamma distribution sampling with alternative parameters
sample_distributions(): Sample from Standard Distributions
terminal_pop(): Terminal Leaf Node Populations
trans_binarytree(): Transition matrix to binary tree
validate_transmat() validate_tree_dat() validate_dat_long(): New Model Validation

Data

bcg_cost: Costs in transition matrix format
bcg_probs: Probabilities in transition matrix format
bcg_utility: Utility in transition matrix format
cost: Costs in transition matrix format
probs: Probabilities in transition matrix format