model: Build a Complete ENA Model

In rENA: Epistemic Network Analysis

Build a Complete ENA Model

Description

This function applies a full ENA modeling pipeline to accumulated data. It is a convenience wrapper that chains together normalization, centering, rotation, projection, and optional optimization. Each step can be customized by supplying an alternative function.

Usage

model(
  data,
  ...,
  normalize = sphere_norm,
  center_with = center,
  rotate_with = rotate,
  project_with = project,
  optimize_with = optimize,
  rotate_fun = ena.rotate.by.generalized,
  rotate_params = list()
)

Arguments

data	An 'ena.set' object, typically the result of 'accumulate()'.
...	Additional arguments passed to the rotation function specified by 'rotate_fun'.
normalize	A function to normalize the connection counts. Defaults to 'sphere_norm'.
center_with	A function to center the normalized data. Defaults to 'center'.
rotate_with	A function to perform the rotation (e.g., SVD). Defaults to 'rotate'.
project_with	A function to project the points into the rotated space. Defaults to 'project'.
optimize_with	A function to optimize node positions. Defaults to 'optimize'. Can be set to 'NULL' or 'FALSE' to skip.
rotate_fun	The specific rotation function to be used by 'rotate_with'. Defaults to 'ena.rotate.by.generalized'.
rotate_params	A list of additional parameters to pass to the 'rotate_fun'.

Value

An 'ena.set' object with a complete ENA model, including projected points and node positions.

Examples

data(RS.data)

codes <- c("Data", "Technical.Constraints", "Performance.Parameters",
           "Client.and.Consultant.Requests", "Design.Reasoning",
           "Collaboration")
units <- c("Condition", "UserName")
horizon <- c("Condition", "GroupName")
enaset <- RS.data |>
  accumulate(units, codes, horizon) |>
  model()

rENA documentation built on Nov. 5, 2025, 5:50 p.m.