node_polr: Generate Data from an Ordered Logistic or Probit Regression

In simDAG: Simulate Data from a (Time-Dependent) Causal DAG

Generate Data from an Ordered Logistic or Probit Regression

Description

Data from the parents is used to generate the node using by first calculating the linear predictor. An appropriately distributed random error term is then added. The resulting latent variable is categorized at user-specified cutpoints to obtain the resulting ordered factor.

Usage

node_polr(data, parents, formula=NULL, betas,
          cutpoints, link="logistic", labels=FALSE,
          output="factor")

Arguments

data	A data.table (or something that can be coerced to a data.table) containing all columns specified by parents.
parents	A character vector specifying the names of the parents that this particular child node has. If non-linear combinations or interaction effects should be included, the user may specify the formula argument instead.
formula	An optional formula object to describe how the node should be generated or NULL (default). If supplied it should start with ~, having nothing else on the left hand side. The right hand side may contain any valid formula syntax, such as A + B or A + B + I(A^2), allowing non-linear effects. If this argument is defined, there is no need to define the parents argument. For example, using parents=c("A", "B") is equal to using formula= ~ A + B. Contrary to the node_gaussian, node_binomial and node_poisson node types, random effects and random slopes are currently not supported here.
betas	A numeric vector with length equal to parents, specifying the causal beta coefficients used to generate the node.
cutpoints	A numeric vector containing the points at which the underlying latent variable is cut to produce the ordered factor. In general, length(cutpoints) + 1 categories will be produced.
link	The link function describing the distribution of the error term. Allowed values are "logistic", "probit", "loglog", "cloglog" and "cauchit", mirroring the method argument in the polr function.
labels	Labels for the levels of the resulting categories. By default (labels = FALSE), simple integer codes are returned. Corresponds to the argument of the same name in the cut function.
output	A single character string specifying the kind of output that should be returned. Defaults to "factor", but may also be set to "character".

Details

This node type currently does not support inclusion of random effects or random slopes in the formula.

Value

Returns a character of factor vector of length nrow(data).

Author(s)

Robin Denz

See Also

empty_dag, node, node_td, sim_from_dag, sim_discrete_time

Examples

library(simDAG)

set.seed(124554)

dag <- empty_dag() +
  node(c("X1", "X2"), type="rnorm", mean=0, sd=1) +
  node("Y", type="polr", formula= ~ -2*X1 + 1.5*X2, cutpoints=c(0.7, 1.5, 3.2),
       link="logistic")

sim_dat <- sim_from_dag(dag=dag, n_sim=100)

simDAG documentation built on March 10, 2026, 9:07 a.m.