Fix Label Switching in MCMC Results from a Binary Outcome Misclassification Model
label_switch(chain_matrix, dim_x, dim_z, n_cat)
label_switch
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 \(\gamma\) terms are "swapped"
with the opposite j
index.
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]
or gamma[k,j,p]
).
An integer specifying the number of columns of the design matrix of the true outcome mechanism, X
.
An integer specifying the number of columns of the design matrix of the observation mechanism, Z
.
An integer specifying the number of categorical values that the true outcome, Y
,
and the observed outcome, Y*
can take.