spatial_priors: Default priors for parameters of a spatially explicit...
In mrc-ide/spatialbranchr: Spatially explicit branching process model
spatial_priors R Documentation
Default priors for parameters of a spatially explicit branching process
model
Description
The parameters are the effective reproduction number and the exponent on the
distance in a gravity model, when both are being jointly estimated.
Effective reproduction number is assumed to be Gamma distributed
and therefore, its mean and standard deviation need to be specified.
These are automataically translated into the shape and scale paramaters.
When estimating only the effective reproduction number, the
'gamma' component of the list is silently ignored.
Usage
spatial_priors()
Value
a list of default parameters for the priors.
Values can then be manually be edited as in the examples below.
Author(s)
Sangeeta Bhatia
Examples
priors <- spatial_priors()
priors$gamma <- 2
mrc-ide/spatialbranchr documentation built on Oct. 2, 2022, 5:56 p.m.
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| spatial_priors | R Documentation |
Default priors for parameters of a spatially explicit branching process model
Description
The parameters are the effective reproduction number and the exponent on the distance in a gravity model, when both are being jointly estimated. Effective reproduction number is assumed to be Gamma distributed and therefore, its mean and standard deviation need to be specified. These are automataically translated into the shape and scale paramaters. When estimating only the effective reproduction number, the 'gamma' component of the list is silently ignored.
Usage
spatial_priors()
Value
a list of default parameters for the priors. Values can then be manually be edited as in the examples below.
Author(s)
Sangeeta Bhatia
Examples
priors <- spatial_priors() priors$gamma <- 2
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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