label_switch_2stage {COMBO}

Fix Label Switching in MCMC Results from a Binary Outcome Misclassification Model

Description

Fix Label Switching in MCMC Results from a Binary Outcome Misclassification Model

Usage

label_switch_2stage(chain_matrix, dim_x, dim_z, dim_v, n_cat)

Arguments

chain_matrix

A numeric matrix containing the posterior samples for all parameters in a given MCMC chain. chain_matrix must be a named object (i.e. each parameter must be named as beta[j, p], gamma[k,j,p], or delta[l,k,j,p]).

dim_x

An integer specifying the number of columns of the design matrix of the true outcome mechanism, X.

dim_z

An integer specifying the number of columns of the design matrix of the first-stage observation mechanism, Z.

dim_v

An integer specifying the number of columns of the design matrix of the second-stage observation mechanism, V.

n_cat

An integer specifying 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

label_switch_2stage returns a named matrix of MCMC posterior samples for all parameters after performing label switching according the following pattern: all \beta terms are multiplied by -1, all \gamma and \delta terms are "swapped" with the opposite j index.