Compute the Mean Conditional Probability of Correct Classification, by True Outcome Across all Subjects

Compute the Mean Conditional Probability of Correct Classification, by True Outcome Across all Subjects

Usage

mean_pistarjj_compute(pistar_matrix, j, sample_size)

Arguments

pistar_matrix

A numeric matrix of conditional probabilities obtained from the internal function pistar_compute_for_chains. Rows of the matrix correspond to each subject and to each observed outcome category. Columns of the matrix correspond to each true, latent outcome category.

j

An integer value representing the true outcome category to compute the average conditional probability of correct classification for. j can take on values 1 and 2.

sample_size

An integer value specifying the number of observations in the sample.

Value

mean_pistarjj_compute returns a numeric value equal to the average conditional probability \(P(Y^* = j | Y = j, Z)\) across all subjects.