r-slash-dcaseAscObsModel: Case Ascertainment observational model for a discrete-time...
In JMacDonaldPhD/REpi: Pseudo-Marginal Analysis of partially observed Epidemics
r/dcaseAscObsModel R Documentation
Case Ascertainment observational model for a discrete-time meta-population SIR model.
Description
Generates a case ascertainment observation model. There is assumed
to be a fixed probability alpha of observing an infection, independent
of time and individual.
Usage
rAscCases(alpha, X)
Arguments
X
Underlying epidemic trajectory
Value
Returns a sampling function and a log-density calculation function.
JMacDonaldPhD/REpi documentation built on Aug. 2, 2022, 2:09 p.m.
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.
| r/dcaseAscObsModel | R Documentation |
Case Ascertainment observational model for a discrete-time meta-population SIR model.
Description
Generates a case ascertainment observation model. There is assumed to be a fixed probability alpha of observing an infection, independent of time and individual.
Usage
rAscCases(alpha, X)
Arguments
X |
Underlying epidemic trajectory |
Value
Returns a sampling function and a log-density calculation function.
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.