Bayesian Projected Normal Regression Models for Circular Data

---

Documentation for package ‘bpnreg’ version 2.0.3

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

BFc	Bayes Factors
BFc.bpnme	Bayes Factors for a Bayesian circular mixed-effects model
BFc.bpnr	Bayes Factors for a Bayesian circular regression model
bpnme	Fit a Bayesian circular mixed-effects model
bpnr	Fit a Bayesian circular regression model
circ_coef	Compute circular coefficients from linear coefficients
circ_coef_rcpp	Compute circular coefficients
coef_circ	Circular coefficients
coef_circ.bpnme	Obtain the circular coefficients of a Bayesian circular mixed-effects model
coef_circ.bpnr	Obtain the circular coefficients of a Bayesian circular regression model
coef_lin	Linear coefficients
coef_lin.bpnme	Obtain the linear coefficients of a Bayesian circular mixed-effects model
coef_lin.bpnr	Obtain the linear coefficients of a Bayesian circular regression model
coef_ran	Random effect variances
coef_ran.bpnme	Obtain random effect variances of a Bayesian circular mixed-effects model
DIC_reg	Compute Model Fit Measures Regression Model
eigen_val	Compute Eigenvalues
eigen_vec	Compute Eigenvectors
fit	Model fit
fit.bpnme	Model fit for a Bayesian circular mixed-effects model
fit.bpnr	Model fit for a Bayesian circular regression model
hmode	Estimate the mode by finding the highest posterior density interval
hmodeC	Estimate the mode by finding the highest posterior density interval
hmodeci	Find the highest density interval.
hmodeciC	Find the highest density interval of a circular variable
hpd_est	Compute the 95 percent HPD of a vector of linear data
hpd_est_circ	Compute the 95 percent HPD of a vector of circular data
lik_me	Compute the Likelihood of the PN distribution (mixed effects)
lik_reg	Compute the Likelihood of the PN distribution (regression)
Maps	The geometry of human knowledge of navigation space.
mean_circ	Compute the mean of a vector of circular data
mmme	Create model matrices for a circular mixed-effects regression model
mmr	Create model matrices circular regression
mode_est	Compute the mode of a vector of linear data
mode_est_circ	Compute the mode of a vector of circular data
Motor	Phase differences in hand flexion-extension movements.
mvrnorm_arma_eigen	Sample from a multivariate normal distribution
pnme	A Gibbs sampler for a projected normal mixed-effects model
pnr	A Gibbs sampler for a projected normal regression model
print.bpnme	Print output from a Bayesian circular mixed-effects model
print.bpnr	Print output from a Bayesian circular regression model
rho	Compute a mean resultant length
rho_circ	Compute the mean resultant length of a vector of circular data
sd_circ	Compute the standard deviation of a vector of circular data
slice_rcpp	A slice sampler for the latent lengths r
theta_bar	Compute a mean direction
traceplot	Traceplots
traceplot.bpnme	Traceplots for a Bayesian circular mixed-effects model
traceplot.bpnr	Traceplots for a Bayesian circular regression model