r-cran-fields 12.5-1 source package in Ubuntu

Changelog

r-cran-fields (12.5-1) unstable; urgency=medium

  * New upstream version
  * Standards-Version: 4.6.0 (routine-update)
  * dh-update-R to update Build-Depends (routine-update)
  * Fix autopkgtest

 -- Andreas Tille <email address hidden>  Mon, 20 Sep 2021 07:54:41 +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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File Size SHA-256 Checksum
r-cran-fields_12.5-1.dsc 2.1 KiB ccca8e985518b9d66159a5e1092147a7cb24adb3254d3ae59954eeabb0844797
r-cran-fields_12.5.orig.tar.gz 3.1 MiB d3f7d2f3f535f7b81b9995194c62532ea99d8566e908ec051c026f413ec54e22
r-cran-fields_12.5-1.debian.tar.xz 4.1 KiB f714c6daeeb89f25e0b16e61c55089314f7923bf2aa136ee11205670a5595bd7

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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