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.
an observations data frame containing a vector of observation variances (
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 PSGP package (they will be in a future release).
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## 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)
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