Description Usage Arguments Value Note References See Also
Defines some necessary arguments for the function final.resamp
. Removes NAs from the opt.mu.d
and opt.cov.d
matrixes.
1 2 | like.resamp(K, log.like.0, opt.cov.d, opt.mu.d, d.keep,
d = 10, theta.dim = 8)
|
K |
Number of iterations at the importance sampling stage |
log.like.0 |
A vector containing the likelihoods for each row of the prior |
opt.cov.d |
Covariance matrixes for the local optimums |
opt.mu.d |
A |
d.keep |
Number of local optimums found in the optimizer step |
d |
A scalar defining the number of optimizer interations. Defaults to 10 |
theta.dim |
Number of columns in the prior matrix |
h.mu |
A |
h.sig |
An array with |
log.like |
A vector of likelihoods for each row of H.k |
Typically for use immediately before running final.resamp
or within the function hp.bm.imis
Poole, David and Adrian Raftery. 2000. "Inference for Deterministic Simulation Models: The Bayesian Melding Approach." Journal of the American Statistical Association 95:1244–1255.
Raftery, Adrian and Le Bao. 2009. "Estimating and Projecting Trends in HIV/AIDS Gen- eralized Epidemics Using Incremental Mixture Importance Sampling." Technical Report 560, Department of Statistics, University of Washington.
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