Package: timevarcorr 0.1.1.9000

timevarcorr: Time Varying Correlation

Computes how the correlation between 2 time-series changes over time. To do so, the package follows the method from Choi & Shin (2021) <doi:10.1007/s42952-020-00073-6>. It performs a non-parametric kernel smoothing (using a common bandwidth) of all underlying components required for the computation of a correlation coefficient (i.e., x, y, x^2, y^2, xy). An automatic selection procedure for the bandwidth parameter is implemented. Alternative kernels can be used (Epanechnikov, box and normal). Both Pearson and Spearman correlation coefficients can be estimated and change in correlation over time can be tested.

Authors:Alexandre Courtiol [aut, cre, cph], François Rousset [aut]

timevarcorr_0.1.1.9000.tar.gz
timevarcorr_0.1.1.9000.zip(r-4.7-any)timevarcorr_0.1.1.9000.zip(r-4.6-any)timevarcorr_0.1.1.9000.zip(r-4.5-any)
timevarcorr_0.1.1.9000.tgz(r-4.6-any)timevarcorr_0.1.1.9000.tgz(r-4.5-any)
timevarcorr_0.1.1.9000.tar.gz(r-4.7-any)timevarcorr_0.1.1.9000.tar.gz(r-4.6-any)
timevarcorr_0.1.1.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
timevarcorr/json (API)

# Install 'timevarcorr' in R:
install.packages('timevarcorr', repos = c('https://courtiol.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/courtiol/timevarcorr/issues

Pkgdown/docs site:https://courtiol.github.io

Datasets:
  • stockprice - Daily Closing Prices of Major European Stock Indices, April 2000-December 2017

On CRAN:

Conda:

2.70 score 1 stars 5 scripts 274 downloads 15 exports 1 dependencies

Last updated from:074663dbd8. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK106
source / vignettesOK199
linux-releaseOK115
macos-releaseOK130
macos-oldrelOK97
windows-develOK85
windows-releaseOK91
windows-oldrelOK82
wasm-releaseOK95

Exports:calc_Dcalc_ecalc_Gammacalc_GammaINFcalc_Hcalc_L_Andcalc_rhocalc_RMSEcalc_SEin_pkgdownkern_smoothselect_htcortest_equalitytest_ref

Dependencies:lpridge