tune_proposal: Tune proposal distribution for randow walk M-H parameter...
In fintzij/BDAepimodel: Fit Stochastic Epidemic Models in R via Bayesian Data Augmentation
Description
Usage
Arguments
Value
View source: R/tune_proposal.R
Description
The empirical covariance matrix is tuned either by taking weighted averages
or by re-tuning the scale multiple until the acceptance rate is within the
desired range.
Usage
1
tune_proposal(epimodel, epimodel_envir)
Arguments
epimodel_envir
logical indicating whether the tuning is run within the
epimodel environment
Value
updated covariance matrix and scale factor within the epimodel
environment, or a list with tuning results
fintzij/BDAepimodel documentation built on Sept. 20, 2020, 1:44 p.m.
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Description Usage Arguments Value
View source: R/tune_proposal.R
Description
The empirical covariance matrix is tuned either by taking weighted averages or by re-tuning the scale multiple until the acceptance rate is within the desired range.
Usage
1 | tune_proposal(epimodel, epimodel_envir)
|
Arguments
epimodel_envir |
logical indicating whether the tuning is run within the epimodel environment |
Value
updated covariance matrix and scale factor within the epimodel environment, or a list with tuning results
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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