r-cran-fields 10.3-1 source package in Ubuntu

Changelog

r-cran-fields (10.3-1) unstable; urgency=medium

  * New upstream version
  * Standards-Version: 4.5.0 (routine-update)
  * Set upstream metadata fields: Bug-Database, Bug-Submit, Repository.

 -- Andreas Tille <email address hidden>  Mon, 10 Feb 2020 13:35:25 +0100

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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
Focal release universe misc

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File Size SHA-256 Checksum
r-cran-fields_10.3-1.dsc 2.0 KiB 498c6e185ca449506808481d6d76a31119ca4cbb12eb378944bcb7c7528bb1bc
r-cran-fields_10.3.orig.tar.gz 3.1 MiB 490bff3637edd6d42b578776648be031486fc38cdbe668fd46b07c2add3e698a
r-cran-fields_10.3-1.debian.tar.xz 3.9 KiB 60964f2569bba22abbb50dabdbe76567c9ddb037a7a2ddb93069ba0cbb990767

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: No summary available for r-cran-fields-dbgsym in ubuntu groovy.

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