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quantilogram

3.2.1

Cross-Quantilogram

0packages depend
3.2Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Tatsushi OkaFirst published 2020-05-315 releasesCRAN page ↗

Estimation and inference methods for the cross-quantilogram. The cross-quantilogram is a measure of nonlinear dependence between two variables, based on either unconditional or conditional quantile functions. It can be considered an extension of the correlogram, which is a correlation function over multiple lag periods that mainly focuses on linear dependency. One can use the cross-quantilogram to detect the presence of directional predictability from one time series to another. This package provides a statistical inference method based on the stationary bootstrap. For detailed theoretical and empirical explanations, see Linton and Whang (2007) for univariate time series analysis and Han, Linton, Oka and Whang (2016) for multivariate time series analysis. The full references for these key publications are as follows: (1) Linton, O., and Whang, Y. J. (2007). The quantilogram: with an application to evaluating directional predictability. Journal of Econometrics, 141(1), 250-282 doi:10.1016/j.jeconom.2007.01.004; (2) Han, H., Linton, O., Oka, T., and Whang, Y. J. (2016). The cross-quantilogram: measuring quantile dependence and testing directional predictability between time series. Journal of Econometrics, 193(1), 251-270 doi:10.1016/j.jeconom.2016.03.001.

Install

Health

CRAN checks
13OK
Slowest check: 2.7 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
6
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 208 wordsVignettesNopkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
85%
Documented parameters
100%
Return-value docs
100%
References docs
89%

Downloads

3.2K
CRAN downloads in the past year
Rank #10,883 · ~9/day · ~268/mo
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24230 days
90890 days
3.2K1 year
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Also on100 r2u6 autocran

Dependencies

Declared dependencies
8 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.1.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (4)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Contributors (3)
Contributor
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Package Timeline

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

  • 3.2.1Latest
    2026-06-19 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 3.1.1
    2024-08-27 · diff ↗
  • 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
  • 2.2.1
    2022-03-05 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 2.1.1
    2020-06-19 · diff ↗
  • 2.0.1
    2020-05-31
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2020-05-31
Total releases
5 / 6 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 4.1.0
Bundled data
104 KB / 2 files
Download size
126 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("quantilogram")
Oka, T., Han, H., Linton, O., & Whang, Y. (2026). quantilogram: Cross-Quantilogram (Version 3.2.1) [Computer software]. https://doi.org/10.32614/CRAN.package.quantilogram

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 quantilogram version 3.2.1 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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