Bayesian MDS (stub) – log-normal distances via Metropolis — morie_spatial_voting_bayesian_mds • rmorie

Bayesian MDS (stub) – log-normal distances via Metropolis

Usage

morie_spatial_voting_bayesian_mds(
  D,
  n_dims = 2L,
  n_samples = 1000L,
  burn_in = 200L,
  sigma_init = 1
)

Arguments

D: Distance matrix. @param n_dims Dimensions. @param n_samples MCMC samples.
n_dims: Integer; latent dimensionality.
n_samples: Integer; posterior-sample count.
burn_in: Burn-in length. @param sigma_init Initial sigma.
sigma_init: Numeric; initial value for the latent-coordinate scale (default 1).

Value

Never returns; raises NotYetPorted.

References

Oh & Raftery (2001) JASA 96(455).

Examples

if (FALSE) morie_spatial_voting_bayesian_mds(matrix(0, 5, 5)) # \dontrun{}