Description Usage Arguments Value
A function to compute an approximate scaling matrix for the MCMC algorithm. Not intended for general use.
1 2 | 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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