var.rwts: Variance of the rescaled weights when estimating the...
In milokmilo/strandCet: Estimation of Biological Parameters from Stranded Cetaceans
var.rwts R Documentation
Variance of the rescaled weights when estimating the Heligman-Pollard parameters using Bayesian Melding with IMIS.
Description
Calculates the variance of the rescaled weights.
Usage
var.rwts(w)
Arguments
w
A vector of importance weights corresponding to each row of the mixture of the prior and multivariate gaussian draws.
Value
A scalar representing the variance of the rescaled weights.
Note
Used in the final.resamp function.
References
Poole, D. and Raftery, A. (2000). Inference for Deterministic Simulation Models: The Bayesian Melding Approach. Journal of the American Statistical Association 95:1244–1255.
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.
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, 1039–1096.
See Also
final.resamp HP.mod
milokmilo/strandCet documentation built on July 11, 2022, 5:57 a.m.
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| var.rwts | R Documentation |
Variance of the rescaled weights when estimating the Heligman-Pollard parameters using Bayesian Melding with IMIS.
Description
Calculates the variance of the rescaled weights.
Usage
var.rwts(w)
Arguments
w |
A vector of importance weights corresponding to each row of the mixture of the prior and multivariate gaussian draws. |
Value
A scalar representing the variance of the rescaled weights.
Note
Used in the final.resamp function.
References
Poole, D. and Raftery, A. (2000). Inference for Deterministic Simulation Models: The Bayesian Melding Approach. Journal of the American Statistical Association 95:1244–1255.
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.
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, 1039–1096.
See Also
final.resamp HP.mod
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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