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HBSTM (version 1.0.2)

Hierarchical Bayesian Space-Time Models for Gaussian Space-Time Data

Description

Fits Hierarchical Bayesian space-Time models for Gaussian data. Furthermore, its functions have been implemented for analysing the fitting qualities of those models.

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Version

Install

install.packages('HBSTM')

Monthly Downloads

161

Version

1.0.2

License

GPL (>= 2.0)

Maintainer

Alberto Moreno

Last Published

May 28th, 2022

Functions in HBSTM (1.0.2)

VectSubdiag0-class

Class "VectSubdiag0"
Autoregressive-class

Class "Autoregressive"
VectSubdiag-class

Class "VectSubdiag"
Autoregressive0-class

Class "Autoregressive0"
Parameters-class

Class "Parameters"
Mu0-class

Class "Mu0"
Seas-class

Class "Seas"
HBSTM-package

Hierarchical Bayesian Space-Time models for Gaussian space-time data
Xt0-class

Class "Xt0"
Xt-class

Class "Xt"
Hyperpriors-class

Class "Hyperpriors"
HBSTM-class

Class "HBSTM"
Mt-class

Class "Mt"
Seas0-class

Class "Seas0"
plotFit

Plot the spatial data, estimation and residuals of an object of class HBSTM
mse

Mean Square Error
SpatParam-class

Class "SpatParam"
SpatParam0-class

Class "SpatParam0"
Mt0-class

Class "Mt0"
Mu-class

Class "Mu"
plotRes

Residual Plots
results

Results summary
hbstm

Fitting Hierarchical Bayesian Space Time models
hbstm.fit

Fitted function for Hierarchical Bayesian Space Time models
estimation

Estimation of the median parameters
hirlam

hirlam