rasch_logit: Compute Logit and Row Means

In GLMBasedRaschEstimation: GLM-Based Estimation for Rasch Model Parameters

Compute Logit and Row Means

Description

Compute Logit and Row Means

Usage

rasch_logit(prob_matrix)

Arguments

prob_matrix

The matrix returned by compute_Modified_probabilities.

Value

A numeric matrix of logit transformations (log-odds) with dimensions nrow(prob_matrix) rows by ncol(prob_matrix) + 1 columns. The first columns contain the logit values for each item, and the final column, named Row_Mean_Logit, contains the mean logit across all items for each person, which serves as an estimate of Student Ability.

Examples

set.seed(123)
sample_data <- matrix(sample(c(0, 1), 100, replace = TRUE), ncol = 10)
prepared <- prepare_data(sample_data)
irt_results <- fit_binary_irt(prepared$matrix, prepared$total_score)
probs <- compute_Modified_probabilities(irt_results, prepared$total_score)

logit_results <- rasch_logit(probs)

print(head(logit_results))

GLMBasedRaschEstimation documentation built on April 22, 2026, 9:08 a.m.