circSD

<p>Returns the circular standard deviation of a vector of circular data which is
defined as the square root of minus 2 times the log of the mean resultant
length.</p>

Perform a Bayesian analysis of a circular outcome General Linear
Model (GLM), which allows regressing a circular outcome on linear and
categorical predictors. Posterior samples are obtained by means of an MCMC
algorithm written in 'C++' through 'Rcpp'. Estimation and credible intervals
are provided, as well as hypothesis testing through Bayes Factors.
See Mulder and Klugkist (2017) <doi:10.1016/j.jmp.2017.07.001>.

Kees Mulder

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circSD: Compute the Circular Standard Deviation

Description

Usage

Arguments

Value