reparam_tv: Approximate an underreported model by a fully observed one
In jbracher/hhh4underreporting: Fitting endemic-epidemic models to underreported data
Description
This function returns the parameters of a fully observed model with the same second-order properties
as the specified underreported model.
Usage
1
reparam_tv(lambda1, nu, phi, kappa, psi, q)
Arguments
nu, phi, kappa, psi
the time-varying parameters of the model
(kappa and psi are also allowed to be time-varying here);
vectors of equal length
q
the reporting probability
jbracher/hhh4underreporting documentation built on July 21, 2020, 2:08 p.m.
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Description
This function returns the parameters of a fully observed model with the same second-order properties as the specified underreported model.
Usage
1 | reparam_tv(lambda1, nu, phi, kappa, psi, q)
|
Arguments
nu, phi, kappa, psi |
the time-varying parameters of the model
( |
q |
the reporting probability |
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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