nhosp_likelihood: Calculate the likelihood adjustment for number of hospital...
In rplzzz/CovMitigation: COVID-19 infection model for Virginia
Description
The adjustment is
L_h = \log(\int dp_h Beta(α_h, β_h) ∏ Pois(N_h, λ(p_h)))
Usage
1
nhosp_likelihood(alpha, beta, modout)
Arguments
alpha
First shape parameter in the prior for hospitalization fraction
beta
Second shape parameter in the prior for hospitalization fraction
modout
Model output from run_scenario
rplzzz/CovMitigation documentation built on June 7, 2021, 8:48 a.m.
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Description
The adjustment is
L_h = \log(\int dp_h Beta(α_h, β_h) ∏ Pois(N_h, λ(p_h)))
Usage
1 | nhosp_likelihood(alpha, beta, modout)
|
Arguments
alpha |
First shape parameter in the prior for hospitalization fraction |
beta |
Second shape parameter in the prior for hospitalization fraction |
modout |
Model output from |
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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