entropy.wts: Entropy of the rescaled weights relative to uniformity.
In strandCet: Estimation of Biological Parameters from Stranded Cetaceans
Description
Usage
Arguments
Value
Note
References
See Also
Description
Performance measure for the IMIS algorithm that calculates the entropy of the importance weights relative to uniformity.
Usage
1
entropy.wts(w)
Arguments
w
A vector of importance weights corresponding to each row of the mixture of the prior and multivariate gaussian draws.
Value
Vector of entropy values relative to uniformity for a vector of weights.
Note
For use in the function final.resamp.
References
Raftery, A. and Bao, L. (2009). Estimating and Projecting Trends in HIV/AIDS Generalized Epidemics Using Incremental Mixture Importance Sampling. Technical Report 560, Department of Statistics, University of Washington.
Poole, D. and Raftery, A. (2000). Inference for Deterministic Simulation Models: The Bayesian Melding Approach. Journal of the American Statistical Association 95:1244<e2><80><93>1255.
Sharrow, D.J., Clark, S.J., Collinson, M.A., Kahn, K. and Tollman, S.M. (2013). The Age Pattern of Increases in Mortality Affected by HIV: Bayesian Fit of the Heligman-Pollard Model to Data from the Agincourt HDSS Field Site in Rural Northeast South Africa. Demogr. Res. 29, 1039<e2><80><93>1096.
See Also
final.resamp
strandCet documentation built on May 1, 2019, 8:19 p.m.
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Description Usage Arguments Value Note References See Also
Description
Performance measure for the IMIS algorithm that calculates the entropy of the importance weights relative to uniformity.
Usage
1 | entropy.wts(w)
|
Arguments
w |
A vector of importance weights corresponding to each row of the mixture of the prior and multivariate gaussian draws. |
Value
Vector of entropy values relative to uniformity for a vector of weights.
Note
For use in the function final.resamp.
References
Raftery, A. and Bao, L. (2009). Estimating and Projecting Trends in HIV/AIDS Generalized Epidemics Using Incremental Mixture Importance Sampling. Technical Report 560, Department of Statistics, University of Washington.
Poole, D. and Raftery, A. (2000). Inference for Deterministic Simulation Models: The Bayesian Melding Approach. Journal of the American Statistical Association 95:1244<e2><80><93>1255.
Sharrow, D.J., Clark, S.J., Collinson, M.A., Kahn, K. and Tollman, S.M. (2013). The Age Pattern of Increases in Mortality Affected by HIV: Bayesian Fit of the Heligman-Pollard Model to Data from the Agincourt HDSS Field Site in Rural Northeast South Africa. Demogr. Res. 29, 1039<e2><80><93>1096.
See Also
final.resamp
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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