Parameters-class: Class '"Parameters"'

In HBSTM: Hierarchical Bayesian Space-Time Models for Gaussian Space-Time Data

Class "Parameters"

Description

"Parameters" contains all the values of the fitted HBSTM parameters and it is an internal class stored in "HBSTM".

Slots

Mu:

An object of class "Mu" containing the parameters of the mean component.

Mt:

An object of class "Mt" containing the parameters of the seasonal component.

Xt:

An object of class "Xt" containing the parameters of the autoregressive space-time component.

Yt:

A "matrix" of dimension SxT (S = predicted spatial points and T = temporal points) containing the fitted values of the parameter Yt

sigma2Y:

Contains the fitted value of the variance sigma2Y.

sigma2E:

Contains the fitted value of the variance sigma2E.

Methods

[

signature(x = "Parameters", i = "character", j = "missing", drop = "missing"): extract the components of the model.

[<-

signature(x = "Parameters", i = "character", j = "missing"): assign values to the components of the model.

Author(s)

Pilar Munyoz and Alberto Lopez Moreno

See Also

Overview: HBSTM-package
Classes : HBSTM,Parameters,Mu,Mt,Xt,Autoregressive,Seas,SpatParam,VectSubdiag, Hyperpriors,Mu0,Mt0,Xt0,Seas0,Autoregressive0,SpatParam0,VectSubdiag0
Methods : hbstm,hbstm.fit,results,estimation,resid,mse
Plot : plotRes,plotFit
Data: hirlam,coordinates

HBSTM documentation built on May 28, 2022, 5:05 p.m.