betaBlock.fRI

Omega

current outcome vector (Y.I=cos(theta)*R, Y.II=sin(theta)*R)

design matrix model parameters (differs per person)

design matrix for random effects (differs per person)

dimension X (number of columns/variables+indicator variables)

prior variance of fixed effect coefficients

Sample fixed effect coefficients in a Random Intercept model

internal

Fitting Bayesian multiple and mixed-effect regression models for
circular data based on the projected normal distribution. Both continuous
and categorical predictors can be included. Sampling from the posterior is
performed via an MCMC algorithm. Posterior descriptives of all parameters,
model fit statistics and Bayes factors for hypothesis tests for inequality
constrained hypotheses are provided. See Cremers, Mulder & Klugkist (2018)
<doi:10.1111/bmsp.12108> and Nu<c3><b1>ez-Antonio & Gutti<c3><a9>rez-Pe<c3><b1>a (2014)
<doi:10.1016/j.csda.2012.07.025>.

betaBlock.fRI: Sample fixed effect coefficients in a Random Intercept model

Description

Usage

Arguments