The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

testcorr: Testing Zero Correlation

Computes the test statistics for examining the significance of autocorrelation in univariate time series, cross-correlation in bivariate time series, Pearson correlations in multivariate series and test statistics for i.i.d. property of univariate series given in Dalla, Giraitis and Phillips (2020), <https://cowles.yale.edu/sites/default/files/files/pub/d21/d2194-r.pdf>.

Version: 0.2.0
Imports: stats, ggplot2, scales, reshape2, forcats, knitr, methods
Suggests: testthat, rmarkdown
Published: 2021-04-05
Author: Violetta Dalla, Liudas Giraitis and Peter C. B. Phillips
Maintainer: Violetta Dalla <vidalla at econ.uoa.gr>
License: GPL-3
NeedsCompilation: no
Materials: NEWS
In views: TimeSeries
CRAN checks: testcorr results

Documentation:

Reference manual: testcorr.pdf
Vignettes: The testcorr Package

Downloads:

Package source: testcorr_0.2.0.tar.gz
Windows binaries: r-devel: testcorr_0.2.0.zip, r-release: testcorr_0.2.0.zip, r-oldrel: testcorr_0.2.0.zip
macOS binaries: r-release (arm64): testcorr_0.2.0.tgz, r-oldrel (arm64): testcorr_0.2.0.tgz, r-release (x86_64): testcorr_0.2.0.tgz, r-oldrel (x86_64): testcorr_0.2.0.tgz
Old sources: testcorr archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=testcorr to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.