LBInferenceML-class: Class "LBInferenceML" - results from ML inference in SEIR...

In RLadyBug: Analysis of Infectious Diseases using Stochastic Epidemic Models

Description

Results from a maximum likelihood inferenceise SEIR models

Objects from the Class

Objects can be created by calls of the form new("LBInferenceML", ...). ~~ describe objects here ~~

Slots

cov:

Object of class "matrix" giving the covariance matrix of all parameters, i.e. this is the inverse negative Hessian matrix evaluated at the MLE.

corr:

Object of class "numeric" ~~

paramHat:

Object of class "numeric" containing the MLE of all parameters~

paramSe:

Object of class "numeric" containing the standard error of all parameters

aic:

Object of class "numeric" AIC of the fitted model

loglik:

Object of class "numeric" containing the loglik at the MLE

Extends

Class "LBInference", directly.

Methods

infValues

signature(object = "LBInferenceML"): get all slots

infValues<-

signature(object = "LBInferenceML"): set a list of slots

show

signature(object = "LBInferenceML"): as usual

summary

signature(object = "LBInferenceML"): as usual

R0

signature(object = "LBInferenceML"): Compute the basic reproduction ratio based on the largest eigenvalue of the transmission matrix.

See Also

LBInference-class

Examples

data(laevensML)
seir(laevensML,laevensML.opts)

RLadyBug documentation built on May 2, 2019, 5:50 p.m.