make.sigma.B: Deprecated functions, use replacements!
In SpatioTemporal: Spatio-Temporal Model Estimation

Description Usage Arguments Details Value Author(s)

Deprecated functions, use replacements!

make.sigma.B(...)

make.sigma.B.full(...)

make.sigma.nu(...)

make.sigma.nu.cross.cov(...)

calc.tF.times.mat(...)

calc.F.times.X(...)

calc.tF.mat.F(...)

block.mult(...)

dot.prod(...)

SVD.miss(...)

SVD.smooth(...)

SVD.smooth.cv(...)

calc.smooth.trends(...)

setupSTdataset(...)

printMesaDataNbrObs(...)

plotMonitoringLoc(...)

plotMesaData(...)

create.data.matrix(...)

remove.ST.mean(...)

detrend.data(...)

create.data.model(...)

default.LUR.list(...)

default.ST.list(...)

construct.LUR.basis(...)

construct.ST.basis(...)

loglike.dim(...)

loglike.var.names(...)

get.params(...)

loglike(...)

loglike.naive(...)

gen.gradient(...)

gen.hessian(...)

loglike.grad(...)

loglike.hessian(...)

loglike.naive.grad(...)

loglike.naive.hessian(...)

fit.mesa.model(...)

cond.expectation(...)

simulateMesaData(...)

combineMesaData(...)

drop.observations(...)

plotPrediction(...)

tstat(...)

compute.ltaCV(...)

CVbasics(...)

summaryStatsCV(...)

run.MCMC(...)

plotCV(...)

CVresiduals.qqnorm(...)

CVresiduals.scatter(...)

...

Unused, for compability.

Functions have been rename/replaced as:

block.mult: blockMult
calc.F.times.X: calc.FX
calc.smooth.trends: calcSmoothTrends and updateTrend
calc.tF.mat.F: calc.tFXF
calc.tF.times.mat: calc.tFX, see also expandF.
combineMesaData: c.STmodel
compute.ltaCV: computeLTA
cond.expectation: predict.STmodel
construct.LUR.basis: createLUR
construct.ST.basis: createST
create.data.matrix: createDataMatrix
create.data.model: createSTmodel, see also updateCovf and processLocation.
CVbasics: Included in estimateCV.STmodel.
CVresiduals.qqnorm: qqnorm.STdata, qqnorm.STmodel, or qqnorm.predCVSTmodel
CVresiduals.scatter: scatterPlot.STdata, scatterPlot.STmodel, or scatterPlot.predCVSTmodel
default.LUR.list: processLUR
default.ST.list: processST
detrend.data: detrendSTdata
dot.prod: dotProd
drop.observations: dropObservations
fit.mesa.model: estimate.STmodel
gen.gradient: genGradient
gen.hessian: genHessian
get.params: loglikeSTgetPars
loglike: loglikeST
loglike.dim: loglikeSTdim
loglike.grad: loglikeSTGrad
loglike.hessian: loglikeSTHessian
loglike.naive: loglikeSTnaive
loglike.naive.grad: loglikeSTnaiveGrad
loglike.naive.hessian: loglikeSTnaiveHessian
loglike.var.names: loglikeSTnames
make.sigma.B: makeSigmaB, see parsCovFuns, namesCovFuns, and evalCovFuns for new covariance specifications.
make.sigma.B.full: makeSigmaB and calc.FXtF2
make.sigma.nu: makeSigmaNu
make.sigma.nu.cross.cov: makeSigmaNu
printMesaDataNbrObs: print.STdata, summary.STdata, print.STmodel, and summary.STmodel
plotCV: plot.predCVSTmodel
plotMesaData: plot.STdata and plot.STmodel
plotMonitoringLoc: plot.STdata and plot.STmodel
plotPrediction: plot.predictSTmodel
remove.ST.mean: removeSTcovarMean
run.MCMC: MCMC.STmodel
setupSTdataset: createSTdata
simulateMesaData: simulate.STmodel
summaryStatsCV: summary.predCVSTmodel
SVD.miss: SVDmiss
SVD.smooth: SVDsmooth
SVD.smooth.cv: SVDsmoothCV, see also plot.SVDcv and print.SVDcv.
tstat: Included in predict.STmodel