r-cran-fields 10.0-1 source package in Ubuntu

Changelog

r-cran-fields (10.0-1) unstable; urgency=medium

  * New upstream version
  * autopkgtest: s/ADTTMP/AUTOPKGTEST_TMP/g

 -- Andreas Tille <email address hidden>  Thu, 14 Nov 2019 09:39:46 +0100

Upload details

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

Downloads

File Size SHA-256 Checksum
r-cran-fields_10.0-1.dsc 2.0 KiB cac947ab413d676eb2237b0da4604708224da1dd51b793f51749689c4fe34dae
r-cran-fields_10.0.orig.tar.gz 3.1 MiB 3406a04034429ef3a68a68782a0f73099e3e28f0f8880d706cde0c9177a97f9c
r-cran-fields_10.0-1.debian.tar.xz 3.8 KiB 645a5bf3d028a89c543f51b112267ffab2130c2a239b5c04ddb6d716148bd92b

Available diffs

No changes file available.

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