| anyBars | anyBars function from lme4 package |
| betaBlock | Sample fixed effect coefficients |
| 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 |
| bpnreg-package | bpnreg: A package to analyze Bayesian projected normal... |
| b_samp | Sample subject specific random effects |
| 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... |
| coef_circ.bpnr | Obtain the circular coefficients of a Bayesian circular... |
| coef_lin | Linear coefficients |
| coef_lin.bpnme | Obtain the linear coefficients of a Bayesian circular... |
| coef_lin.bpnr | Obtain the linear coefficients of a Bayesian circular... |
| coef_ran | Random effect variances |
| coef_ran.bpnme | Obtain random effect variances of a Bayesian circular... |
| Dbd | Compute utmu |
| DIC_reg | Compute Model Fit Measures Regression 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... |
| hmodeC | Estimate the mode by finding the highest posterior density... |
| 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_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... |
| 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 |
| nobars | nobars function from lme4 package |
| nobars_ | nobars_ function from lme4 package |
| omega_samp | Sample precision matrix |
| 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 |
| reOnly | reOnly function from lme4 package |
| rho | Compute a mean resultant length |
| rho_circ | Compute the mean resultant length of a vector of circular... |
| RHSForm | RHSForm function from lme4 package |
| RHSForm-set | RHSForm function from lme4 package |
| safeDeparse | reOnly function from lme4 package |
| sd_circ | Compute the standard deviation of a vector of circular data |
| 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... |
| sumr | Compute summary and model fit statistics for the circular... |
| 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 |
