plotConvergence | R Documentation |
Produces a rank plot to analyse convergence of MCMC algorithm
plotConvergence(params)
params |
An instance of class |
Returns the ranks of the number of outliers in each chain. The side effect returns rank plots. Number of rank plots is equal to the number of chains
## Generate some example data library("pRolocdata") data("tan2009r1") set.seed(1) tansim <- sim_dynamic(object = tan2009r1, numRep = 4L, numDyn = 100L) data <- tansim$lopitrep control <- data[1:2] treatment <- data[3:4] ## fit GP params gpParams <- lapply(tansim$lopitrep, function(x) fitGPmaternPC(x, hyppar = matrix(c(0.5, 1, 100), nrow = 1))) ## run bandle res <- bandle(objectCond1 = control, objectCond2 = treatment, gpParams = gpParams, fcol = "markers", numIter = 5L, burnin = 1L, thin = 2L, numChains = 2, BPPARAM = SerialParam(RNGseed = 1), seed = 1) ## Process bandle results bandleres <- bandleProcess(res) ## Convergence plots par(mfrow = c(1, 2)) plotConvergence(bandleres)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.