pitilde_by_chain {COMBO} R Documentation

## Compute the Mean Conditional Probability of Second-Stage Correct Classification, by First-Stage and True Outcome Across all Subjects for each MCMC Chain

### Description

Compute the Mean Conditional Probability of Second-Stage Correct Classification, by First-Stage and True Outcome Across all Subjects for each MCMC Chain

### Usage

pitilde_by_chain(n_chains, chains_list, V, 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. V 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, V. n_cat The number of categorical values that the true outcome, Y, the first-stage observed outcome, Y*, and the second-stage observed outcome, \tilde{Y}, can take.

### Value

pitilde_by_chain returns a numeric matrix of the average conditional probability P( \tilde{Y} = j | Y^* = j, Y = j, V) 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( \tilde{Y} = 1 | Y^* = 1, Y = 1, V). The second column contains the conditional probability P( \tilde{Y} = 2 | Y^* = 2, Y = 2, V).

[Package COMBO version 1.0.0 Index]