SpatioTemporal-package | Spatio-Temporal Modelling |
block.mult | Multiplication of Block Diagonal Matrix and Vector |
block_mult | Internal C-functions |
calc.F.times.X | Compute Matrix Productes Involving the Smooth Trends |
calc.iS.X | Matrix Multiplication with Block Matrices |
calc.mu.B | Matrix Multiplication with Block Matrices |
calc.smooth.trends | Smooth Basis Functions for a mesa.data Structure |
calc.tF.mat.F | Compute Matrix Productes Involving the Smooth Trends |
calc.tF.times.mat | Compute Matrix Productes Involving the Smooth Trends |
calc.X.iS.X | Matrix Multiplication with Block Matrices |
calc_F_part_X | Internal C-functions |
calc_tF_mat_F | Internal C-functions |
calc_tF_times_mat | Internal C-functions |
combineMesaData | Merges two Data Objects. |
compute.ltaCV | Computes the long term average for each sites. |
cond.expectation | Computes Conditional Expectation for Unobserved Locations |
construct.LUR.basis | Extract and Create Covariate Matrices |
construct.ST.basis | Extract and Create Covariate Matrices |
create.data.matrix | Create a Data Matrix from a mesa.data Structure |
create.data.model | Creates the mesa.data.model structure; selection of model covarites |
createCV | Define Cross-Validation Groups |
CVresiduals.qqnorm | QQ-norm and Scatterplots for Data and Residual Analysis |
CVresiduals.scatter | QQ-norm and Scatterplots for Data and Residual Analysis |
default.LUR.list | Error Checking and Default Values for Covariate Selection |
default.ST.list | Error Checking and Default Values for Covariate Selection |
dot.prod | Computes Inner Product and Squared 2-norm |
dot_prod | Internal C-functions |
drop.observations | Drop Observations from mesa.data.model |
estimateCV | Cross-Validated Estimation and Prediction |
fit.mesa.model | Estimation of the Spatio-Temporal Model |
gen.gradient | Compute Finite Difference Gradient and Hessians. |
gen.hessian | Compute Finite Difference Gradient and Hessians. |
get.params | Extract Parameters from a Vector |
invCholBlock | Computations for Block Diagonal Matrices |
inv_chol_block | Internal C-functions |
loglike | Compute the Log-likelihood for the Spatio-Temporal Model |
loglike.dim | Dimensions of the Model Data Structure |
loglike.grad | Compute Gradient and Hessian for the Log-likelihood |
loglike.hessian | Compute Gradient and Hessian for the Log-likelihood |
loglike.naive | Compute the Log-likelihood for the Spatio-Temporal Model |
loglike.naive.grad | Compute Gradient and Hessian for the Log-likelihood |
loglike.naive.hessian | Compute Gradient and Hessian for the Log-likelihood |
loglike.var.names | Create Names for Log-likelihood Parameters |
make.sigma.B | Create Covariance Matrix for the beta-Fields |
make.sigma.B.full | The Covariance Matrix for Temporal Trends and beta Fields. |
make.sigma.nu | Crete (Cross)-Covariance Matrices for the Residual Field |
make.sigma.nu.cross.cov | Crete (Cross)-Covariance Matrices for the Residual Field |
makeCholBlock | Computations for Block Diagonal Matrices |
make_chol_block | Internal C-functions |
make_sigma_b | Internal C-functions |
make_sigma_b_full | Internal C-functions |
make_sigma_nu | Internal C-functions |
make_sigma_nu_cross_cov | Internal C-functions |
mesa.data | Example of a mesa.data Structure |
mesa.data.model | Example of a mesa.data.model Structure |
mesa.data.raw | Example of raw data |
mesa.data.res | Results of some time consuming code. |
norm2 | Computes Inner Product and Squared 2-norm |
norm2_c | Internal C-functions |
plotCV | Illustrates Predictions and Cross-validated Predictions |
plotMesaData | Illustrates the Observations as Timeseries |
plotMonitoringLoc | Plot of Observation Locations and Dates |
plotPrediction | Illustrates Predictions and Cross-validated Predictions |
predictCV | Cross-Validated Estimation and Prediction |
predictNaive | Naive Temporal Predictions |
printMesaDataNbrObs | Summary of Locations and Time Points |
remove.ST.mean | Mean-Centre the Spatio-Temporal Covariate |
run.MCMC | MCMC Inference of Parameters in the Spatio-Temporal Model. |
simulateMesaData | Simulate Data from the Spatio-Temporal Model |
solveTriBlock | Computations for Block Diagonal Matrices |
solve_tri_block | Internal C-functions |
SpatioTemporal | Spatio-Temporal Modelling |
sumLogDiag | Sum the Logarithm of Diagonal Elements |
summaryStatsCV | Computes Summary Statistics for Cross-validation |
sum_log_diag | Internal C-functions |
SVD.miss | Replace Missing Values in a Data Matrix Using Iterative svd. |
SVD.smooth | Smooth Basis Functions for Data Matrix with Missing Values |
SVD.smooth.cv | Cross-validation for Smooth Basis Functions |