in_pkgdown

<p>This function should not be called by the user.
It allows to run some examples conditionally to being used by pkgdown.
Code copied from <code><a href="https://pkgdown.r-lib.org/reference/in_pkgdown.html">pkgdown::in_pkgdown()</a></code>.</p>

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.

Alexandre Courtiol

timevarcorr

Time Varying Correlation

François Rousset

in_pkgdown function

<p>This function should not be called by the user.
It allows to run some examples conditionally to being used by pkgdown.
Code copied from <code><a href='https://pkgdown.r-lib.org/reference/in_pkgdown.html'>pkgdown::in_pkgdown()</a></code>.</p>

in_pkgdown: Determine if the package is being used by pkgdown

Description

Usage

Arguments

Value