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OmicKriging

1.4.0

Poly-Omic Prediction of Complex TRaits

0packages depend
2.5Kdownloads / year
test coverage
11/13checks pass

Overview

About
Maintained by Hae Kyung ImFirst published 2013-03-096 releasesCRAN page ↗

It provides functions to generate a correlation matrix from a genetic dataset and to use this matrix to predict the phenotype of an individual by using the phenotypes of the remaining individuals through kriging. Kriging is a geostatistical method for optimal prediction or best unbiased linear prediction. It consists of predicting the value of a variable at an unobserved location as a weighted sum of the variable at observed locations. Intuitively, it works as a reverse linear regression: instead of computing correlation (univariate regression coefficients are simply scaled correlation) between a dependent variable Y and independent variables X, it uses known correlation between X and Y to predict Y.

Install

Health

CRAN checks
2NOTE11OK
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-clang
  • NOTE r-devel-linux-x86_64-debian-gcc
Slowest check: 2.0 min · r-release-macos-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
5
Dependencies · direct
Check history
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 171 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
50%

Downloads

2.5K
CRAN downloads in the past year
Rank #16,516 · ~7/day · ~209/mo
Daily download trend is not available in this view yet.
12930 days
64590 days
2.5K1 year
Compare downloads with other packages →
Also on117 r2u18 autocran

Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)
Depends (2)
R >= 2.15.1doParallel
Imports (4)
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (0)

Author records are not tracked yet for this package.

Listed in earlier versions (4)
no longer listed · 3.0.0 to 1.4.0
no longer listed · 3.0.0 to 1.4.0
no longer listed · 3.0.3 to 1.4.0
no longer listed · 3.0.3 to 1.4.0
Package Timeline

6 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
  • 1.4.0Latest
    2016-03-08 · current release · diff ↗
  • R
    R 3.2.0 released · 2015-04-16
  • 1.3
    2014-06-18 · diff ↗
  • R
    R 3.1.0 released · 2014-04-10
  • 1.1
    2014-02-01 · diff ↗
Show 5 earlier events
  • 3.0.3
    2013-09-26 · diff ↗
  • R
    R 3.0.0 released · 2013-04-03
  • 1.0
    2013-03-09 · diff ↗
  • 3.0.0
    2013-03-08
  • R
    R 2.15.0 released · 2012-03-30

Package metadata

First published
2013-03-09
Total releases
6 / 13 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 2.15.1
Download size
3.4 MB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("OmicKriging")

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 OmicKriging version 1.4.0 [Data set]. HJJB, LLC. Data release v2026-08-16. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-16, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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