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 |
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