twinSIR_cox: Identify Endemic Components in an Intensity Model
In surveillance: Temporal and Spatio-Temporal Modeling and Monitoring of Epidemic Phenomena
twinSIR_cox R Documentation
Identify Endemic Components in an Intensity Model
Description
The special function cox marks terms in formulae of the functions
twinSIR and simEpidata as endemic components,
i.e. variables acting multiplicatively on the baseline infection intensity.
An illustrative twinSIR call with two epidemic and two endemic
covariates is:
twinSIR(~B1 + B2 + cox(vaccination) + cox(size), data=myEpidata).
Technically, this function is implemented as function(x) {x} and
defined as “special” in terms.formula.
See Also
Usage in formulae of functions twinSIR and
simEpidata.
surveillance documentation built on Oct. 2, 2024, 1:08 a.m.
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| twinSIR_cox | R Documentation |
Identify Endemic Components in an Intensity Model
Description
The special function cox marks terms in formulae of the functions
twinSIR and simEpidata as endemic components,
i.e. variables acting multiplicatively on the baseline infection intensity.
An illustrative twinSIR call with two epidemic and two endemic
covariates is:
twinSIR(~B1 + B2 + cox(vaccination) + cox(size), data=myEpidata).
Technically, this function is implemented as function(x) {x} and
defined as “special” in terms.formula.
See Also
Usage in formulae of functions twinSIR and
simEpidata.
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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