r-cran-fields 9.0-3 source package in Ubuntu

Changelog

r-cran-fields (9.0-3) unstable; urgency=medium

  * Moved packaging from SVN to Git
  * Secure URI in watch file
  * Standards-Version: 4.1.1

 -- Andreas Tille <email address hidden>  Wed, 29 Nov 2017 16:20:54 +0100

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Uploaded by:
Debian Med
Uploaded to:
Sid
Original maintainer:
Debian Med
Architectures:
any
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Bionic release universe misc

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File Size SHA-256 Checksum
r-cran-fields_9.0-3.dsc 2.0 KiB d7816b52bfcee377be0ac4c72a0fad1cab9faf45a648af0f620ee883ff4200fd
r-cran-fields_9.0.orig.tar.gz 3.1 MiB 9c7cb036b641731569412c36fa026a738f999fd85593531c1a2ad7fad80b533a
r-cran-fields_9.0-3.debian.tar.xz 3.4 KiB bfec7a39d39fd16eb28884a2d64853d26e8907fb9ce29fc12ead10915c87c264

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