Compute the Mean Conditional Probability of Correct Classification, by True Outcome Across all Subjects for each MCMC Chain for a 2-stage model

Compute the Mean Conditional Probability of Correct Classification, by True Outcome Across all Subjects for each MCMC Chain for a 2-stage model

Usage

pistar_by_chain_2stage(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 \(P(Y^* = 2 | Y = 2, Z)\).