LBInferenceMLK-class: Class "LBInferenceMLK" - results from MLK inference in SEIR...

In RLadyBug: Analysis of Infectious Diseases using Stochastic Epidemic Models

Description

Results from the Klinkenberg inference method

Objects from the Class

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

Slots

r0:

Object of class "numeric"

r0.ci:

Object of class "numeric" containing the confindence intervall of r0

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 "LBInferenceML", directly.

Methods

infValues

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

infValues<-

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

show

signature(object = "LBInferenceMLK"): as usual

summary

signature(object = "LBInferenceMLK"): as usual

See Also

LBInferenceML-class

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