mixing_posterior_check: Model calibration plots

In pRoloc: A unifying bioinformatics framework for spatial proteomics

Description

Model calibration model with posterior z-scores and posterior shrinkage

Usage

mixing_posterior_check(object, params, priors, fcol = "markers")

Arguments

object	A valid object of class MSnset
params	A valid object of class MCMCParams that has been processed and checked for convergence
priors	The prior that were used in the model
fcol	The columns of the feature data which contain the marker data.

Value

Used for side effect of producing plot. Invisibily returns an ggplot object that can be further manipulated

Author(s)

Oliver M. Crook <[e-mail]>

Examples

## Not run: 
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)

## End(Not run)

pRoloc documentation built on Nov. 8, 2020, 6:26 p.m.