r-cran-fields 15.2-1 source package in Ubuntu

Changelog

r-cran-fields (15.2-1) unstable; urgency=medium

  * New upstream version
  * Standards-Version: 4.6.2 (routine-update)
  * dh-update-R to update Build-Depends (routine-update)
  * Set upstream metadata fields: Bug-Database, Bug-Submit.

 -- Andreas Tille <email address hidden>  Fri, 25 Aug 2023 12:55:15 +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

See full publishing history Publishing

Series Pocket Published Component Section
Noble release universe misc

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File Size SHA-256 Checksum
r-cran-fields_15.2-1.dsc 2.0 KiB b2580020da2d0ce5eb4bac70c928b5005053b5dadd762bd4a418c8ac2da98521
r-cran-fields_15.2.orig.tar.gz 3.2 MiB 1f270f2331522ef93e04a8b199dfab17995ac02aaa0a68eeca90fef55f6cad3d
r-cran-fields_15.2-1.debian.tar.xz 4.4 KiB 3a4fa194287046124d6088636b1b0b265a825c7eabc7349269fd2b82fc1ff2b3

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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