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#
# fields is a package for analysis of spatial data written for
# the R software environment.
# Copyright (C) 2024 Colorado School of Mines
# 1500 Illinois St., Golden, CO 80401
# Contact: Douglas Nychka, douglasnychka@gmail.com,
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 of the License, or
# (at your option) any later version.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with the R software environment if not, write to the Free Software
# Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA
# or see http://www.r-project.org/Licenses/GPL-2
##END HEADER
print.spatialProcessSummary <- function(x, digits = 4, ...) {
cat("CALL:\n")
dput(x$call)
cat("\n")
cat(" SUMMARY OF MODEL FIT:\n")
print(x$summaryTable, quote = FALSE)
cat("\n")
if( !is.na(x$fixedEffectsTable[1])){
cat(" ESTIMATED COEFFICIENTS FOR FIXED PART:", fill = TRUE)
cat("\n")
print(x$fixedEffectsTable, quote = FALSE)
cat("\n")
}
if( !is.na(x$fixedEffectsTableCommon[1])){
cat(" ESTIMATED COEFFICIENTS FOR COMMON COVARIATES:", fill = TRUE)
cat("\n")
print(x$fixedEffectsTableCommon, quote = FALSE)
cat("\n")
}
cat(" COVARIANCE MODEL:", x$cov.function, fill = TRUE)
if (x$cov.function == "stationary.cov") {
covName<- ifelse(is.null(x$args$Covariance),
"Exponential", x$args$Covariance)
cat(" Covariance function: ", covName, fill = TRUE)
}
if (!is.null(x$args)) {
cat(" Non-default covariance arguments and their values ",
fill = TRUE)
nlist <- as.character(names(x$args))
NL <- length(nlist)
for (k in 1:NL) {
covItem<- x$args[[k]]
cat( nlist[k], ":",
fill = TRUE)
if (object.size(covItem) > 10) {
print(covItem)
}
else {
cat("Too large to print value, size > 10 ...",
fill = TRUE)
}
}
}
cat( "Nonzero entries in covariance matrix ", x$nonzero.entries, fill=TRUE)
cat("\n")
cat("SUMMARY FROM Max. Likelihood ESTIMATION:", fill=TRUE)
if( !is.null( x$MLEInfo) ){
cat("Parameters found from optim: ", fill=TRUE )
print( x$MLESummary[x$MLEpars] )
cat("Approx. confidence intervals for MLE(s) ", fill=TRUE )
print( x$CITable)
cat("\n")
cat(" Note: MLEs for tau and sigma found analytically from lambda", fill=TRUE)
cat("\n")
}
else{
cat(" lambda and range are supplied : ", fill=TRUE)
cat(" tau and sigma analytically derived from lambda", fill=TRUE)
cat("\n")
}
cat("Summary from estimation:", fill=TRUE)
print( x$MLESummary)
invisible(x)
}
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