BFc                     Bayes Factors
BFc.bpnme               Bayes Factors for a Bayesian circular
                        mixed-effects model
BFc.bpnr                Bayes Factors for a Bayesian circular
                        regression model
DIC_reg                 Compute Model Fit Measures Regression Model
Dbd                     Compute utmu
Maps                    The geometry of human knowledge of navigation
                        space.
Motor                   Phase differences in hand flexion-extension
                        movements.
Omega.f                 Sample precision matrix
RHSForm                 RHSForm function from lme4 package
RHSForm<-               RHSForm function from lme4 package
anyBars                 anyBars function from lme4 package
b.f                     Sample subject specific random effects
betaBlock.fRI           Sample fixed effect coefficients in a Random
                        Intercept model
betaBlock.fRS           Sample fixed effect coefficients in a Random
                        Slope model
bpnme                   Fit a Bayesian circular mixed-effects model
bpnr                    Fit a Bayesian circular regression model
bpnreg                  bpnreg: A package to analyze Bayesian projected
                        normal circular regression models
cat_check               Check whether a variable is categorical
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
eigen_val               Compute Eigenvalues
eigen_vec               Compute Eigenvectors
expandDoubleVerts       expandDoubleVerts function from lme4 package
findbars                findbars function from lme4 package
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
isAnyArgBar             isAnyArgBar function from lme4 package
isBar                   isBars function from lme4 package
lik                     Compute the Likelihood of the PN distribution
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
mvrnorm_arma_eigen      Sample from a multivariate normal distribution
nobars                  nobars function from lme4 package
nobars_                 nobars_ function from lme4 package
pnr                     A Gibbs sampler for a projected normal
                        regression model
predict.bpnme           Predicted values for a Bayesian circular
                        mixed-effects model
predict.bpnr            Predicted values for a Bayesian circular
                        regression model
print.bpnme             Print output from a Bayesian circular
                        mixed-effects model
print.bpnr              Print output from a Bayesian circular
                        regression model
reOnly                  reOnly function from lme4 package
residuals.bpnme         Residuals for a Bayesian circular mixed-effects
                        model
residuals.bpnr          Residuals for a Bayesian circular regression
                        model
rho                     Compute a mean resultant length
rho_circ                Compute the mean resultant length of a vector
                        of circular data
safeDeparse             reOnly function from lme4 package
sd_circ                 Compute the standard deviation of a vector of
                        circular data
slice_r_me              Sample R (latent lengths)
slice_rcpp              A slice sampler for the latent lengths r
subbars                 subbars function from lme4 package
summe                   Compute summary and model fit statistics for
                        the circular mixed-effects regression model
sumr                    Compute summary and model fit statistics for
                        the circular regression model
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
