`"Parameters"`

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

.

`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`

.

- [
`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.

Pilar Munyoz and Alberto Lopez Moreno

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`

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

All documentation is copyright its authors; we didn't write any of that.