dtree {radiant.model} | R Documentation |
Create a decision tree
Description
Create a decision tree
Usage
dtree(yl, opt = "max", base = character(0), envir = parent.frame())
Arguments
yl |
A yaml string or a list (e.g., from yaml::yaml.load_file()) |
opt |
Find the maximum ("max") or minimum ("min") value for each decision node |
base |
List of variable definitions from a base tree used when calling a sub-tree |
envir |
Environment to extract data from |
Details
See https://radiant-rstats.github.io/docs/model/dtree.html for an example in Radiant
Value
A list with the initial tree, the calculated tree, and a data.frame with results (i.e., payoffs, probabilities, etc.)
See Also
summary.dtree
to summarize results
plot.dtree
to plot results
sensitivity.dtree
to plot results
Examples
yaml::as.yaml(movie_contract) %>% cat()
dtree(movie_contract, opt = "max") %>% summary(output = TRUE)
dtree(movie_contract)$payoff
dtree(movie_contract)$prob
dtree(movie_contract)$solution_df
[Package radiant.model version 1.6.6 Index]