expt.upts: Expected number of unique inputs after the final IMIS...
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 expected number of unique points after re-sampling.
Usage
1
expt.upts(w, m)
Arguments
w
A vector of importance weights corresponding to each row of the mixture of the prior and multivariate gaussian distributions.
m
The final re-sample size.
Value
A scalar describing the number of unique points from the final re-sample.
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.
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 expected number of unique points after re-sampling.
Usage
1 | expt.upts(w, m)
|
Arguments
w |
A vector of importance weights corresponding to each row of the mixture of the prior and multivariate gaussian distributions. |
m |
The final re-sample size. |
Value
A scalar describing the number of unique points from the final re-sample.
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.
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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