buildMetadata {psgp} | R Documentation |
buildMetadata
builds a metadata table of likelihood model descriptors in the PSGP framework. This is an internal function and it should not be used directly.
buildMetadata(observations)
observations |
an observations data frame containing a vector of observation variances (obserations$oevar ) and, optionally, a list of observation biases (observationS$oebias ). If the biases are omitted, a zero bias is assumed for all likelihood models. |
buildMetadata
builds a metadata table of likelihood model descriptors in the PSGP framework. The likelihood models are assumed Gaussian with variances specified in the vector observations$oevar
(the bias is assumed to be zero). Optionally, biases can be specified in the observations$oebias
vector. However, biases are not taken into account in the current version of the package (they will be in a future release).
Remi Barillec
learnParameters
,
makePrediction
,
estimateParameters
,
spatialPredict
,
## Load our favourite dataset data(meuse) obs <- meuse ## Number of observations nobs <- length(obs$y) ## Indicate which likelihood model should be used for each observation obs$oeid <- seq(1:nobs) ## Use random variances for the sake of the example obs$oevar <- rnorm( max(obs$oeid) ) ## Generate metadata table and print it out metadata <- buildMetadata(obs) print(metadata)