irt_vis: irt_vis

In IRTM: Theory-Driven Item Response Theory (IRT) Models

irt_vis

Description

Takes as input the number of latent dimensions (d), an N x (d+z) data frame with average thetas in the first d columns and variables not included in the calculation of the thetas in the rest (T_out), and, optionally, a variable name (sub_name) taken from T_out, and an output file name (out_file), and returns either unconditional theta distributions or distributions subset by that variable

Usage

irt_vis(d, T_out, sub_name = NULL, out_file = NULL)

Arguments

d	The number of latent dimensions
T_out	N x (d+z) data frame with average latent dimensions in first d columns
sub_name	The name of a variable in T_out used for levels in the plot (Default = NULL)
out_file	Output file name for plot (Default = NULL)

Value

A ggplot2 object containing density ridge plots of the latent dimensions. When sub_name is NULL, the plot shows the distribution of each theta dimension. When sub_name is provided, the plot shows distributions faceted by theta dimension and grouped by the specified variable.

IRTM documentation built on June 8, 2025, 10:46 a.m.