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r-cran-fields package

r-cran-fields 9.8-6-1 source package in Ubuntu

Changelog

r-cran-fields (9.8-6-1) unstable; urgency=medium

  * New upstream version
  * debhelper-compat 12
  * Set upstream metadata fields: Archive, Repository.

 -- Andreas Tille <email address hidden>  Mon, 26 Aug 2019 08:43:43 +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_9.8-6-1.dsc 2.0 KiB c1de1cd4631db42a1dfec4b988cefa0d13b1095457825d19c56443df487b3bdf
r-cran-fields_9.8-6.orig.tar.gz 3.1 MiB 5f61d66c8983a75eb9b6e486fc6ad3ba9272a89211d8194bfc4eb618e62ea91f
r-cran-fields_9.8-6-1.debian.tar.xz 3.7 KiB b9a00e57fc3f7d7e2ad87b4ad8ff133229e8546bb39435a1535631ded123b210

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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