Man pages for SpatioTemporal
Spatio-Temporal Model Estimation
| blockMult | Multiplication of Block Diagonal Matrix and Vector |
| boxplot.estCVSTmodel | Boxplots for 'estCVSTmodel' object |
| calc.FX | Compute Matrix Product Bewteen Temporal Trends and a LUR... |
| calc.FXtF2 | Compute Quadratic Form Bewteen Temporal Trends and Sigma B |
| calc.mu.B | Matrix Multiplication with Block Matrices |
| calcSmoothTrends | Smooth Basis Functions for a STdata Object |
| calc.tFX | Compute Matrix Product Bewteen Temporal Trends and a Matrix |
| calc.tFXF | Compute Quadratic Form Bewteen Temporal Trends and Sigma nu |
| coef.estCVSTmodel | Returns estimated parameters for each CV-group. |
| coef.estimateSTmodel | Returns estimated parameters (and uncertaintes) |
| computeLTA | Computes the Long Term Average for Each Sites. |
| convertCharToDate | Convert Character to Dates |
| createCV | Define Cross-Validation Groups |
| createDataMatrix | Create a Data Matrix |
| createLUR | Add Covariate Fields to 'STdata' Object. |
| createSTdata | Construct STdata Object |
| createSTmodel | Construct STmodel Object |
| crossDist | Computed the Euclidian Distance Matrix |
| c.STmodel | Combine Several STmodel/STdata Objects |
| defaultList | Add Default Elements to Incomplete list |
| density.mcmcSTmodel | Kernel Density Estimation for an 'mcmcSTmodel' Object |
| detrendSTdata | Removes Temporal Trend from Observations in a 'STdata' Object |
| dotProd | Computes Inner Product and Squared 2-norm |
| dropObservations | Drop Observations from a STmodel |
| est.cv.mesa | Example of 'estCVSTmodel' and 'predCVSTmodel' structures |
| estimateBetaFields | Regression Estimates of beta-Fields |
| estimateCV.STmodel | Cross-Validated Estimation and Prediction |
| estimate.STmodel | Estimation of the Spatio-Temporal Model |
| est.mesa.model | Examples of 'estimateSTmodel' structure |
| evalCovFuns | Compute Covariance Function |
| expandF | Expand F |
| genGradient | Compute Finite Difference Gradient and Hessians. |
| loglikeST | Compute the Log-likelihood for the Spatio-Temporal Model |
| loglikeSTdim | Dimensions of the STmodel Structure |
| loglikeSTgetPars | Extract Parameters from a Vector |
| loglikeSTGrad | Compute Gradient and Hessian for the Log-likelihood |
| loglikeSTnames | Create Names for Log-likelihood Parameters for STmodel... |
| makeCholBlock | Computations for Block Diagonal Matrices |
| make.sigma.B | Deprecated functions, use replacements! |
| makeSigmaB | Create Block Covariance Matrix (Equal Block Sizes) |
| makeSigmaNu | Create Block Covariance Matrix (Unequal Block Sizes) |
| MCMC.mesa.model | Example of a 'mcmcSTmodel' structure |
| MCMC.STmodel | MCMC Inference of Parameters in the Spatio-Temporal Model |
| mesa.data.raw | Data used in the examples |
| mesa.model | Example of a 'STmodel' structure |
| namesCovFuns | Available covariance functions |
| parsCovFuns | Parameter Names for Covariance Function(s) |
| plot.density.mcmcSTmodel | Plots for an 'density.mcmcSTmodel' object |
| plot.mcmcSTmodel | Plots for an 'mcmcSTmodel' object |
| plot.predictSTmodel | Plots for 'predictSTmodel' and 'predCVSTmodel' Objects |
| plot.STdata | Different Plots for 'STdata'/'STmodel' object |
| plot.SVDcv | Plot and Boxplot cross-validation statistics for 'SVDcv'... |
| predictNaive | Naive Temporal Predictions |
| predict.STmodel | Computes Conditional Expectation at Unobserved Locations |
| pred.mesa.model | Example of a 'predictSTmodel' structure |
| print.estCVSTmodel | Print details for 'estCVSTmodel' object |
| print.estimateSTmodel | Print details for 'estimateSTmodel' object |
| print.mcmcSTmodel | Print details for 'mcmcSTmodel' object |
| print.predCVSTmodel | Print details for 'predCVSTmodel' object |
| print.predictSTmodel | Print details for 'predictSTmodel' object |
| print.STdata | Print details for 'STdata' object |
| print.STmodel | Print details for 'STmodel' object |
| print.summary.estCVSTmodel | Print details for 'summary.estCVSTmodel' object |
| print.summary.mcmcSTmodel | Print details for 'summary.mcmcSTmodel' object |
| print.summary.predCVSTmodel | Print details for 'summary.predCVSTmodel' object |
| print.summary.STdata | Print details for 'summary.STdata' object |
| print.summary.STmodel | Print details for 'summary.STmodel' object |
| print.SVDcv | Print details for 'SVDcv' object |
| processLocation | Internal Function that Extracts Locations |
| processLUR | Internal Function that do Covariate Selection |
| qqnorm.STdata | QQ-norm for 'STdata'/'STmodel'/'predCVSTmodel' objects |
| removeSTcovarMean | Mean-Centre the Spatio-Temporal Covariate |
| scatterPlot | Scatter plot |
| scatterPlot.STdata | scatterPlot for 'STdata'/'STmodel'/'predCVSTmodel' objects |
| simulate.STmodel | Simulate Data from the Spatio-Temporal Model |
| SpatioTemporal-package | Spatio-Temporal Modelling |
| stCheckClass | Test if an object belongs to given class(es). |
| stCheckCovars | Check a data.frame of Covariates |
| stCheckFields | Test if fields exist in an object. |
| stCheckObs | Check an 'obs' data.frame. |
| stCheckSTcovars | Check an Array/List of Spatio-Temporal Covariates |
| sumLogDiag | Sum the Logarithm of (Diagonal) Elements |
| summary.estCVSTmodel | Computes summary details for 'estCVSTmodel' object |
| summary.mcmcSTmodel | Computes summary details for 'mcmcSTmodel' object |
| summary.predCVSTmodel | Computes summary details for 'predCVSTmodel' object |
| summary.STdata | Computes summary details for 'STdata' object |
| summary.STmodel | Computes summary details for 'STmodel' object |
| SVDmiss | Missing Data SVD |
| SVDsmooth | Smooth Basis Functions for Data Matrix with Missing Values |
| updateCovf | Update Covariance Functions in 'STmodel' Objects |
| updateTrend.STdata | Update Trend in 'STdata' or 'STmodel' Object |
