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SpatioTemporal (version 1.1.2)

Spatio-Temporal Model Estimation

Description

Utilities that estimate, predict and cross-validate the spatio-temporal model developed for MESA Air.

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Version

Install

install.packages('SpatioTemporal')

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Version

1.1.2

License

GPL-2

Maintainer

Johan Lindstrom

Last Published

October 10th, 2012

Functions in SpatioTemporal (1.1.2)

c.STmodel

Combine Several STmodel/STdata Objects

calc.mu.B

Matrix Multiplication with Block Matrices

MCMC

Run MCMC for an object

createCV

Define Cross-Validation Groups

norm2

Computes Inner Product and Squared 2-norm

createLUR

Add Covariate Fields to STdata Object.

estimate.STmodel

Estimation of the Spatio-Temporal Model

estimateCV.STmodel

Cross-Validated Estimation and Prediction

loglikeST

Compute the Log-likelihood for the Spatio-Temporal Model

expandF

Expand F

plot.SVDcv

Plot cross-validation statistics for SVDcv object

loglikeSTgetPars

Extract Parameters from a Vector

print.estimateSTmodel

Print details for estimateSTmodel object

print.predictSTmodel

Print details for predictSTmodel object

stCheckCovars

Check a data.frame of Covariates

summary.STdata

Computes summary details for STdata object

summary.estCVSTmodel

Computes summary details for estCVSTmodel object

print.STdata

Print details for STdata object

makeSigmaNu

Create Block Covariance Matrix (Unequal Block Sizes)

removeSTcovarMean

Mean-Centre the Spatio-Temporal Covariate

mesa.data.raw

Example of raw data

print.estCVSTmodel

Print details for estCVSTmodel object

print.SVDcv

Print details for SVDcv object

mesa.model

Example of a STmodel Structure

print.mcmcSTmodel

Print details for mcmcSTmodel object

calc.FX

Compute Matrix Product Bewteen Temporal Trends and a LUR components

SpatioTemporal-package

Spatio-Temporal Modelling

sumLogDiag

Sum the Logarithm of Diagonal Elements

stCheckClass

Test if an object belongs to given class(es).

print.summary.predCVSTmodel

Print details for summary.predCVSTmodel object

loglikeSTdim

Dimensions of the STmodel Structure

convertCharToDate

Convert Character to Dates

print.summary.mcmcSTmodel

Print details for summary.mcmcSTmodel object

createSTdata

Construct STdata Object

estimate

Model Estimation

createSTmodel

Construct STmodel Object

mesa.data

Example of a STdata Structure

pred.mesa.model

Example of a predictSTmodel Structure

updateCovf

Update Covariance Functions in STmodel Objects

MCMC.mesa.model

Example of a mcmcSTmodel Structure

plot.predCVSTmodel

Plots for predictSTmodel and predCVSTmodel Objects

genGradient

Compute Finite Difference Gradient and Hessians.

namesCovFuns

Available covariance functions

plot.STdata

Different Plots for STdata/STmodel object

stCheckFields

Test if fields exist in an object.

evalCovFuns

Compute Covariance Function

print.summary.STmodel

Print details for summary.STmodel object

parsCovFuns

Parameter Names for Covariance Function(s)

loglikeSTnames

Create Names for Log-likelihood Parameters for STmodel objects

processLUR

Internal Function that do Covariate Selection

updateSTdataTrend

Update Trend in STdata Object

createDataMatrix

Create a Data Matrix

loglikeSTGrad

Compute Gradient and Hessian for the Log-likelihood

make.sigma.B

Deprecated functions, use replacements!

coef.estCVSTmodel

Returns estimated parameters for each CV-group.

blockMult

Multiplication of Block Diagonal Matrix and Vector

makeCholBlock

Computations for Block Diagonal Matrices

defaultList

Add Default Elements to Incomplete list

boxplot.estCVSTmodel

Boxplots for estCVSTmodel object

dropObservations

Drop Observations from a STmodel

est.mesa.model

Examples of estimateSTmodel Structure

crossDist

Computed the Euclidian Distance Matrix

SVDmiss

Missing Data SVD

SVDsmooth

Smooth Basis Functions for Data Matrix with Missing Values

predictNaive

Naive Temporal Predictions

makeSigmaB

Create Block Covariance Matrix (Equal Block Sizes)

print.summary.STdata

Print details for summary.STdata object

MCMC.STmodel

MCMC Inference of Parameters in the Spatio-Temporal Model

calc.FXtF2

Compute Quadratic Form Bewteen Temporal Trends and Sigma B

calcSmoothTrends

Smooth Basis Functions for a STdata Object

coef.estimateSTmodel

Returns estimated parameters (and uncertaintes)

calc.tFXF

Compute Quadratic Form Bewteen Temporal Trends and Sigma nu

simulate.STmodel

Simulate Data from the Spatio-Temporal Model

detrendSTdata

Removes Temporal Trend from Observations in a STdata Object

stCheckObs

Check an obs data.frame.

print.summary.estCVSTmodel

Print details for summary.estCVSTmodel object

est.cv.mesa

Example of estCVSTmodel and predCVSTmodel Structures

calc.tFX

Compute Matrix Product Bewteen Temporal Trends and a Matrix

computeLTA

Computes the Long Term Average for Each Sites.

estimateCV

Model cross-validation

print.STmodel

Print details for STmodel object

predict.STmodel

Computes Conditional Expectation at Unobserved Locations

print.predCVSTmodel

Print details for predCVSTmodel object

processLocation

Internal Function that Extracts Locations

summary.mcmcSTmodel

Computes summary details for mcmcSTmodel object

stCheckSTcovars

Check an Array/List of Spatio-Temporal Covariates

summary.STmodel

Computes summary details for STmodel object

summary.predCVSTmodel

Computes summary details for predCVSTmodel object