create_ce_tree_long_df: Create Cost-Effectiveness Tree For Long Dataframe

In n8thangreen/CEdecisiontree: Cost-effectiveness decision tree analysis

Create Cost-Effectiveness Tree For Long Dataframe

Description

Completely specifying cost-effectiveness decision tree. Matches labels on branches to the corresponding probabilities and cost/utility values.

Usage

create_ce_tree_long_df(
  tree_list = NA,
  tree_mat = NA,
  label_probs,
  label_costs,
  label_health,
  pname_from_to,
  cname_from_to,
  hname_from_to
)

Arguments

tree_list	Parent-child ids format
tree_mat	Matrix format
label_probs	List
label_costs	List
label_health	Health labels
pname_from_to	Dataframe name, from, to
cname_from_to	Dataframe name, from, to
hname_from_to	Health names for from-to edges

Value

Long format dataframe for input to 'define_model()' or 'dectree()'. Note this is for a single edge value type (e.g. cost or QALY). Use 'run_cedectree()' for cost and health.

See Also

[CEdecisiontree::define_model()] [CEdecisiontree::dectree()] [CEdecisiontree::run_cedectree()]

n8thangreen/CEdecisiontree documentation built on Sept. 13, 2022, 5:25 a.m.