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VectSubdiag-class

Class "VectSubdiag"


Description

"VectSubdiag" contains all the values of the space-time parameters and it is an internal class stored in "Autorregressive".

Slots

east:

A "vector" of length: the number of east spatial lags. It contains the fitted values of the east spatial-temporal parameters.

west:

A "vector" of length: the number of west spatial lags. It contains the fitted values of the west spatial-temporal parameters.

north:

A "vector" of length: the number of north spatial lags. It contains the fitted values of the north spatial-temporal parameters.

south:

A "vector" of length: the number of south spatial lags. It contains the fitted values of the south spatial-temporal parameters.

southeast:

A "vector" of length: the number of southeast spatial. It and contains the fitted values of the southeast spatial-temporal parameters.

northwest:

A "vector" of length: the number of northwest spatial. It and contains the fitted values of the northwest spatial-temporal parameters.

southwest:

A "vector" of length: the number of southwest spatial. It and contains the fitted values of the southwest spatial-temporal parameters.

northeast:

A "vector" of length: the number of northeast spatial. It and contains the fitted values of the northeast spatial-temporal parameters.

lags:

A "vector" containing the spatial lags for each direction. Each position of the vector is related to the lags of east, weast, north, south, southeast, northwest, southwest and northeast, respectively.

dirs:

A "vector" containing all the space-time directions included in the model.

Methods

[

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

[<-

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

Author(s)

Pilar Munyoz and Alberto Lopez Moreno

See Also


HBSTM

Hierarchical Bayesian Space-Time models for Gaussian space-time data.

v1.0.1
GPL (>= 2.0)
Authors
Pilar Munyoz, Alberto Lopez Moreno
Initial release
2014-1-18

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