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
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timevarcorr.pdf |timevarcorr.html
timevarcorr/json (API)
NEWS

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

Peer review:

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

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

On CRAN:

2.70 score 1 stars 5 scripts 145 downloads 15 exports 1 dependencies

Last updated 1 years agofrom:074663dbd8. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 08 2024
R-4.5-winOKNov 08 2024
R-4.5-linuxOKNov 08 2024
R-4.4-winNOTENov 08 2024
R-4.4-macNOTENov 08 2024
R-4.3-winNOTENov 08 2024
R-4.3-macNOTENov 08 2024

Exports:calc_Dcalc_ecalc_Gammacalc_GammaINFcalc_Hcalc_L_Andcalc_rhocalc_RMSEcalc_SEin_pkgdownkern_smoothselect_htcortest_equalitytest_ref

Dependencies:lpridge