dic: Deviance Information Criterion
In annecori/mRIIDSprocessData: Epidemiological forcasting using real-time data
Description
Usage
Arguments
Details
Author(s)
References
Description
.. content for (no empty lines) ..
Usage
1
dic(I0, pij, R, si, x)
Arguments
I0
list of matrices. Each element in the list is the incidence
matrix for a single simulation.
pij
list of matrices. Each matrix is the probability of
movement for a single simulation. If the list is shorter than other
lists, it will be recycled.
R
list of reproduction vectors. Same as for the other
parameters.
si
list of serial intervals.
Details
DIC = 2\hat{D}_{avg}(y) - D_{\hat{θ}}(y)
Author(s)
Sangeeta Bhatia
References
Gelman, Andrew, et al. Bayesian data analysis. Chapman
and Hall/CRC, 1995.
annecori/mRIIDSprocessData documentation built on May 29, 2019, 1:16 p.m.
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Description Usage Arguments Details Author(s) References
Description
.. content for (no empty lines) ..
Usage
1 | dic(I0, pij, R, si, x)
|
Arguments
I0 |
list of matrices. Each element in the list is the incidence matrix for a single simulation. |
pij |
list of matrices. Each matrix is the probability of movement for a single simulation. If the list is shorter than other lists, it will be recycled. |
R |
list of reproduction vectors. Same as for the other parameters. |
si |
list of serial intervals. |
Details
DIC = 2\hat{D}_{avg}(y) - D_{\hat{θ}}(y)
Author(s)
Sangeeta Bhatia
References
Gelman, Andrew, et al. Bayesian data analysis. Chapman and Hall/CRC, 1995.
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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