View source: R/calibratemcmc.R
| proposalVariance_SPDE | R Documentation | 
A function to compute an approximate scaling matrix for the MCMC algorithm. Not intended for general use.
proposalVariance_SPDE(
  X,
  surv,
  betahat,
  omegahat,
  Yhat,
  priors,
  cov.model,
  u,
  control
)
X | 
 the design matrix, containing covariate information  | 
surv | 
 an object of class Surv  | 
betahat | 
 an estimate of beta  | 
omegahat | 
 an estimate of omega  | 
Yhat | 
 an estimate of Y  | 
priors | 
 the priors  | 
cov.model | 
 the spatial covariance model  | 
u | 
 a vector of pairwise distances  | 
control | 
 a list containg various control parameters for the MCMC and post-processing routines  | 
an estimate of eta and also an approximate scaling matrix for the MCMC
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