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covatest

1.2.5Package record

Tests on Properties of Space-Time Covariance Functions

0packages depend
5Kdownloads / year
–test coverage
11/13flavors OK

Overview

About

Tests on properties of space-time covariance functions. Tests on symmetry, separability and for assessing different forms of non-separability are available. Moreover tests on some classes of covariance functions, such that the classes of product-sum models, Gneiting models and integrated product models have been provided. It is the companion R package to the papers of Cappello, C., De Iaco, S., Posa, D., 2018, Testing the type of non-separability and some classes of space-time covariance function models doi:10.1007/s00477-017-1472-2 and Cappello, C., De Iaco, S., Posa, D., 2020, covatest: an R package for selecting a class of space-time covariance functions doi:10.18637/jss.v094.i01.

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTEdependencies in R coder-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
Namespace in Imports field not imported from:
  ‘gstat’
All declared Imports should be used.

CRAN check page ↗

Slowest check: 2.4 min · r-oldrel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTENow
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.2.5
READMENoVignettesNoNEWSNoCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Cites a JSS article
Help pages
10
Examples that run
90%9 run in a plain check · 1 hold no code
Exported functions with examples
100%
Documented parameters
96%
Return-value docs
11%
Help pages citing references
80%

Also includes 4 demo scripts (run with demo())

Downloads

5K
CRAN downloads in the past year
Rank #7,243 · ~14/day · ~414/mo
Daily download trend is not available in this view yet.
51930 days
1.2K90 days
5K1 year
Compare downloads with other packages →
Also on102 r2u13 autocran

Dependencies

Declared dependencies
8 external dependencies (excludes base and recommended)

Installing covatest adds 28 packages (20 with compiled code, 38 MB of source tarballs). Heaviest: sf 9.3 MB, sp 4.3 MB, stars 3.8 MB.

Depends (1)
R >= 3.4.0
Imports (11)
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (4)
Author, Maintainer since 0.2.1 (2017)
Contributor
Releases (15)

Pick two releases to compare their code metrics.

  • 1.2.5Latest
    record
    2026-05-16 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 1.2.4
    record
    2025-05-13 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.2.3
    record
    2023-07-03 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • unarchivedReturned to CRAN
    2022-10-28
  • 1.2.2
    record
    2022-10-28 · diff ↗
  • archivedRemoved from CRAN
    2022-10-25
    issues were not corrected in time
  • 1.2.1
    record
    2022-08-24 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 1.2.0
    record
    2021-07-09 · diff ↗
  • 1.1.4
    record
    2021-05-28 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 1.1.3
    record
    2020-06-25 · diff ↗
Show 11 earlier eventsHide 11 earlier events
  • R
    R 4.0.0 released · 2020-04-24
  • 1.1.2
    record
    2020-02-28 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • 1.1.1
    record
    2018-12-02 · diff ↗
  • 1.1.0
    record
    2018-12-01 · diff ↗ ·
    removed 1 export
    dataprep
    added 1 export
    read.STdata
  • 1.0.1
    record
    2018-08-29 · diff ↗ ·
    added 1 export
    covastatM
  • R
    R 3.5.0 released · 2018-04-23
  • 1.0.0
    record
    2018-02-02 · diff ↗ ·
    added 1 export
    setzero
  • 0.3.0
    record
    2017-11-17 · diff ↗
  • 0.2.1
    record
    2017-04-27
  • R
    R 3.4.0 released · 2017-04-21

Package metadata

First published
2017-04-27
Total releases
15 / 9 yrs
License
GPL (>= 2.0)
Minimum R
≥ 3.4.0
Bundled data
1.4 KB / 1 file
Download size
84 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("covatest")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.18637/jss.v094.i01.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for covatest version 1.2.5 [Data set]. HJJB, LLC. Data release v2026-10-17. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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