loglikelihood: Calculation of the loglikelihood needed in algo.hhh
In jimhester/surveillance: Temporal and Spatio-Temporal Modeling and Monitoring of Epidemic Phenomena
Description
Usage
Arguments
Value
Author(s)
See Also
Description
Calculates the loglikelihood according to the model specified in designRes.
Usage
1
loglikelihood(theta, designRes)
Arguments
theta
vector of parameters
θ = (α_1,…,α_m,
\bold{λ},
\bold{φ}, \bold{β},
\bold{γ}_1, …, \bold{γ}_m,
\bold{ψ}),
where \bold{λ}=(λ_1,…,λ_m),
\bold{φ}=(φ_1,…,φ_m),
\bold{β}=(β_1,…,β_m),
\bold{γ_1}=(γ_11,…,γ_(1,2S_1)),
\bold{γ_m}=(γ_m1,…,γ_(m,2S_m)),
\bold{ψ}=(ψ_1,…,ψ_m).
If the model specifies less parameters, those components are omitted.
designRes
Result of a call to make.design
Value
Returns the loglikelihood
Author(s)
M. Paul, L. Held
See Also
jimhester/surveillance documentation built on May 19, 2019, 10:33 a.m.
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Description Usage Arguments Value Author(s) See Also
Description
Calculates the loglikelihood according to the model specified in designRes.
Usage
1 | loglikelihood(theta, designRes)
|
Arguments
theta |
vector of parameters θ = (α_1,…,α_m, \bold{λ}, \bold{φ}, \bold{β}, \bold{γ}_1, …, \bold{γ}_m, \bold{ψ}), where \bold{λ}=(λ_1,…,λ_m), \bold{φ}=(φ_1,…,φ_m), \bold{β}=(β_1,…,β_m), \bold{γ_1}=(γ_11,…,γ_(1,2S_1)), \bold{γ_m}=(γ_m1,…,γ_(m,2S_m)), \bold{ψ}=(ψ_1,…,ψ_m). If the model specifies less parameters, those components are omitted. |
designRes |
Result of a call to |
Value
Returns the loglikelihood
Author(s)
M. Paul, L. Held
See Also
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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