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postdens

Calculate the unnormalized posterior density of the model

Calculate the unnormalized posterior density of the model

postdens(mcmc.output, Y, D, chain = 1)

`mcmc.output`	an mcmc list as produced by clean.mcmc
`Y`	the data matrix
`D`	the number of latent factors
`chain`	the chain to plot (default = 1)

post a vector containing the posterior density at each iteration##' @examples

Gabrielle Weinrott

data("toydata")
data("stanfit")
dens <- postdens(coda.obj(stanfit), Y = toydata$Y.simul$Y, D = 2, chain = 1)
hist(dens)

Data Representation: Bayesian Approach That's Sparse

v0.1.5

GPL-3

Authors

Anne Bisson [cre], Gabrielle Weinrott [aut], Brigitte Charnomordic [aut], Benedicte Fontez [aut], Nadine Hilgert [aut], Susan Holmes [aut]

Initial release

2019-11-15