r-cran-fields 14.1-1 source package in Ubuntu

Changelog

r-cran-fields (14.1-1) unstable; urgency=medium

  * New upstream version

 -- Andreas Tille <email address hidden>  Mon, 15 Aug 2022 08:07:16 +0200

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Uploaded by:
Debian R Packages Maintainers
Uploaded to:
Sid
Original maintainer:
Debian R Packages Maintainers
Architectures:
any
Section:
misc
Urgency:
Medium Urgency

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Mantic release universe misc
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File Size SHA-256 Checksum
r-cran-fields_14.1-1.dsc 2.1 KiB b2cdcf8bb4952e48cab65e2457aa13ea8f5e1cdf4b641d1d9f8d4b611ee4d63b
r-cran-fields_14.1.orig.tar.gz 3.3 MiB 57c4c5592443d2ee869014b3199989b5edd1aff52e24f1cd313b8f9b34a95434
r-cran-fields_14.1-1.debian.tar.xz 4.3 KiB bd281ede6e0f5ecade96f377774577c0c67d76fd61c2aeb740108073969adfe6

Available diffs

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Binary packages built by this source

r-cran-fields: GNU R tools for spatial data

 For curve, surface and function fitting with an emphasis on splines,
 spatial data and spatial statistics. The major methods include cubic,
 and thin plate splines, Kriging and compact covariances for large data
 sets. The splines and Kriging methods are supported by functions that
 can determine the smoothing parameter (nugget and sill variance) and
 other covariance parameters by cross validation and also by restricted
 maximum likelihood. For Kriging there is an easy to use function that
 also estimates the correlation scale (range). A major feature is that
 any covariance function implemented in R and following a simple fields
 format can be used for spatial prediction. There are also many useful
 functions for plotting and working with spatial data as images. This
 package also contains an implementation of sparse matrix methods for
 large spatial data sets.

r-cran-fields-dbgsym: debug symbols for r-cran-fields