Compute the Mean Conditional Probability of Correct Classification, by True Outcome Across all Subjects for each MCMC Chain

Compute the Mean Conditional Probability of Correct Classification, by True Outcome Across all Subjects for each MCMC Chain

Usage

pistar_by_chain(n_chains, chains_list, Z, n, n_cat)

Arguments

n_chains

An integer specifying the number of MCMC chains to compute over.

chains_list

A numeric list containing the samples from n_chains MCMC chains.

Z

A numeric design matrix.

n

An integer value specifying the number of observations in the sample. This value should be equal to the number of rows of the design matrix, Z.

n_cat

The number of categorical values that the true outcome, Y, and the observed outcome, Y* can take.

Value

pistar_by_chain returns a numeric matrix of the average conditional probability \(P(Y^* = j | Y = j, Z)\) across all subjects for each MCMC chain. Rows of the matrix correspond to MCMC chains, up to n_chains. The first column contains the conditional probability \(P(Y^* = 1 | Y = 1, Z)\). The second column contains the conditional probability \(P(Y^* = 2 | Y = 2, Z)\).