sevt_fit: Fit a staged event tree

In stagedtrees: Staged Event Trees

Fit a staged event tree

Description

Estimate transition probabilities in a staged event tree from data. Probabilities are estimated with the relative frequencies plus, eventually, an additive (Laplace) smoothing.

Usage

sevt_fit(object, data = NULL, lambda = object$lambda)

Arguments

object	an object of class sevt.
data	data.frame or contingency table with observations of the variables in object.
lambda	smoothing parameter or pseudocount.

Details

The data in form of contingency tables and the log-likelihood of the model is stored in the returned staged event tree.

Value

A fitted staged event tree, that is an object of class sevt with ctables, prob and ll components.

Examples

#########
model <- sevt(list(
  X = c("good", "bad"),
  Y = c("high", "low")
))
D <- data.frame(
  X = c("good", "good", "bad"),
  Y = c("high", "low", "low")
)
model.fit <- sevt_fit(model, data = D, lambda = 1)

stagedtrees documentation built on April 29, 2022, 1:06 a.m.