In gherardovarando/stagedtrees: Staged Event Trees

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-"
)

stagedtrees

Citation

To cite stagedtrees in publications use:

Carli F, Leonelli M, Riccomagno E, Varando G (2022). “The R Package stagedtrees for Structural Learning of Stratified Staged Trees.” Journal of Statistical Software, 102(6), 1-30. doi: 10.18637/jss.v102.i06 (URL: https://doi.org/10.18637/jss.v102.i06).

@Article{,
    title = {The {R} Package {stagedtrees} for Structural Learning of Stratified Staged Trees},
    author = {Federico Carli and Manuele Leonelli and Eva Riccomagno and Gherardo Varando},
    journal = {Journal of Statistical Software},
    year = {2022},
    volume = {102},
    number = {6},
    pages = {1--30},
    doi = {10.18637/jss.v102.i06},
  }

Overview

stagedtrees is a package that implements staged event trees, a class of probability models for categorical random variables.

Installation

# Install stable version from CRAN:
install.packages("stagedtrees")

# Or the development version from GitHub:
remotes::install_github("stagedtrees/stagedtrees")

Usage

With the stagedtrees package it is possible to estimate (stratified) staged event trees from data, use them to compute probabilities, make predictions, visualize and compare different models.

library("stagedtrees")

tree <- Titanic |> full() |> stages_bhc() |> stndnaming(uniq = TRUE)

prob(tree, c(Survived="Yes"), conditional_on = c(Age="Adult"))

palette("Okabe-Ito")
par(mfrow = c(1,2))
plot(tree, col = "stages")
barplot(tree, var = "Survived", main = "P(Survived|-)", col = "stages")