Seas-class: Class '"Seas"'

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

Class "Seas"

Description

"Seas" contains the parameter values of the seasonal component and is an internal class stored in "Mt".

Slots

w:

The period of the seasonality

fvect:

An Sx1 "matrix" (S is the number of spatial points of the predicted grid) containing the temporal autoregressive parameter fvect

f0L:

A 3x1 "matrix" containing the temporal autoregressive parameter f0L

gvect:

A Sx1 "matrix" containing the temporal autoregressive parameter gvect

g0L:

A 3x1 "matrix" containing the temporal autoregressive parameter g0L

Methods

[

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

[<-

signature(x = "Seas", 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.