fido (version 1.0.4)

sample_prior.pibblefit: Sample from the prior distribution of pibblefit object

Description

Note this can be used to sample from prior and then predict can be called to get counts or LambdaX (predict.pibblefit)

Usage

# S3 method for pibblefit
sample_prior(
  m,
  n_samples = 2000L,
  pars = c("Eta", "Lambda", "Sigma"),
  use_names = TRUE,
  ...
)

Value

A pibblefit object

Arguments

m

object of class pibblefit

n_samples

number of samples to produce

pars

parameters to sample

use_names

should names be used if available

...

currently ignored

Details

Could be greatly speed up in the future if needed by sampling directly from cholesky form of inverse wishart (currently implemented as header in this library - see MatDist.h).

Examples

# Sample prior of already fitted  pibblefit object
sim <- pibble_sim()
attach(sim)
fit <- pibble(Y, X)
head(sample_prior(fit))

# Sample prior as part of model fitting
m <- pibblefit(N=as.integer(sim$N), D=as.integer(sim$D), Q=as.integer(sim$Q), 
                iter=2000L, upsilon=upsilon, 
                Xi=Xi, Gamma=Gamma, Theta=Theta, X=X, 
                coord_system="alr", alr_base=D)
m <- sample_prior(m)
plot(m) # plot prior distribution (defaults to parameter Lambda)