Stem: Spatio-temporal models in R

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.

AuthorMichela Cameletti
Date of publication2012-10-29 08:57:42
MaintainerMichela Cameletti <michela.cameletti@unibg.it>
LicenseGPL (>= 2)
Version1.0

View on CRAN

Functions

B_function Man page
changedimension_covariates Man page
covariates2 Man page
cov_lagone Man page
d12_Q Man page
d1_Q Man page
d1_Sigmastar_logb.exp Man page
d1_Sigmastar_logtheta.exp Man page
d2_Q Man page
d2_Sigmastar_logb.exp Man page
d2_Sigmastar_logtheta.exp Man page
filtering Man page
filterstep Man page
is.Stem.Data Man page
is.Stem.Model Man page
is.Stem.Skeleton Man page
kalman Man page
pm10 Man page
Q_function_addendo1 Man page
Q_function_addendo2 Man page
Q_function_addendo3 Man page
Sigmastar.exp Man page
smootherstep Man page
smootherstep.uni Man page
smoothing Man page
spatial.pred Man page
SS Man page
Stem Man page
Stem.Bootstrap Man page
Stem.Bootstrap.fn Man page
Stem.Data Man page
Stem.Estimation Man page
Stem.Kriging Man page
Stem.Model Man page
Stem-package Man page
Stem.Simulation Man page
Stem.Simulation Man page
Stem.Skeleton Man page
sumMatrices Man page

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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