Stem: Spatio-temporal models in R

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Estimation of the parameters of a spatio-temporal model using the EM algorithm, estimation of the parameter standard errors using a spatio-temporal parametric bootstrap, spatial mapping.

Author
Michela Cameletti
Date of publication
2012-10-29 08:57:42
Maintainer
Michela Cameletti <michela.cameletti@unibg.it>
License
GPL (>= 2)
Version
1.0

View on CRAN

Man pages

pm10
Realistic data which illustrate the usage of the package Stem
Stem.Bootstrap
Parametric bootstrap
Stem.Estimation
ML Estimation
Stem-internal
Stem internal objects
Stem.Kriging
Dynamical spatial mapping
Stem.Model
Create a Stem Model
Stem-package
Analysis of spatio-temporal hierarchical models
Stem.Simulation
Simulation of spatio-temporal data

Files in this package

Stem
Stem/data
Stem/data/pm10.r
Stem/NAMESPACE
Stem/man
Stem/man/Stem.Simulation.Rd
Stem/man/Stem-package.Rd
Stem/man/pm10.Rd
Stem/man/Stem.Estimation.Rd
Stem/man/Stem.Kriging.Rd
Stem/man/Stem.Bootstrap.Rd
Stem/man/Stem-internal.Rd
Stem/man/Stem.Model.Rd
Stem/DESCRIPTION
Stem/MD5
Stem/R
Stem/R/cov_lagone.R
Stem/R/d2_Sigmastar_logtheta.exp.R
Stem/R/smootherstep.R
Stem/R/B_function.R
Stem/R/d1_Q.R
Stem/R/Stem.Skeleton.R
Stem/R/sumMatrices.R
Stem/R/is.Stem.Skeleton.R
Stem/R/Stem.Bootstrap.fn.R
Stem/R/Stem-02-internal.R
Stem/R/Stem.Estimation.R
Stem/R/Stem.Data.R
Stem/R/Stem.Kriging.R
Stem/R/is.Stem.Data.R
Stem/R/filterstep.R
Stem/R/Stem.Simulation.R
Stem/R/Q_function_addendo1.R
Stem/R/is.Stem.Model.R
Stem/R/Stem.Model.R
Stem/R/smoothing.R
Stem/R/d1_Sigmastar_logb.exp.R
Stem/R/Q_function_addendo2.R
Stem/R/d12_Q.R
Stem/R/Stem.Bootstrap.R
Stem/R/kalman.R
Stem/R/changedimension_covariates.R
Stem/R/filtering.R
Stem/R/spatial.pred.R
Stem/R/d1_Sigmastar_logtheta.exp.R
Stem/R/Q_function_addendo3.R
Stem/R/d2_Sigmastar_logb.exp.R
Stem/R/d2_Q.R
Stem/R/smootherstep.uni.R
Stem/R/Sigmastar.exp.R