Model calibration model with posterior z-scores and posterior shrinkage
mixing_posterior_check(object, params, priors, fcol = "markers")A valid object of class MSnset
A valid object of class MCMCParams that has been processed
and checked for convergence
The prior that were used in the model
The columns of the feature data which contain the marker data.
Used for side effect of producing plot. Invisibily returns an ggplot object that can be further manipulated
if (FALSE) {
library("pRoloc")
data("tan2009r1")
tanres <- tagmMcmcTrain(object = tan2009r1)
tanres <- tagmMcmcProcess(tanres)
tan2009r1 <- tagmMcmcPredict(object = tan2009r1, params = tanres, probJoint = TRUE)
myparams <- chains(e14Tagm_converged_pooled)[[1]]
myparams2 <- chains(mcmc_pool_chains(tanres))[[1]]
priors <- tanres@priors
pRoloc:::mixing_posterior_check(object = tan2009r1, params = myparams2, priors = priors)
}