View source: R/calibratemcmc.R
proposalVariance_polygonal | R Documentation |
A function to compute an approximate scaling matrix for the MCMC algorithm. Not intended for general use.
proposalVariance_polygonal(
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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