r-cran-fields 9.0-2 source package in Ubuntu

Changelog

r-cran-fields (9.0-2) unstable; urgency=medium

  * Team upload
  * Fix autopkgtests by ignoring difference in loading required package

 -- Graham Inggs <email address hidden>  Mon, 11 Sep 2017 09:53:46 +0000

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

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File Size SHA-256 Checksum
r-cran-fields_9.0-2.dsc 2.0 KiB 674c996dc0814bb3c0f4d873033231408cd67ffd4ac7e8f9c69e5bdaa81c8330
r-cran-fields_9.0.orig.tar.gz 3.1 MiB 9c7cb036b641731569412c36fa026a738f999fd85593531c1a2ad7fad80b533a
r-cran-fields_9.0-2.debian.tar.xz 3.4 KiB 64819d384c4ed40f15c2fc9357667f5fa2231b1519ff9a63eec11f917183e8b6

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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