bpnreg-package |
bpnreg: A package to analyze Bayesian projected normal circular regression models |
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 |
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 |
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 |
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 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 |
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 |
nobars |
nobars function from lme4 package |
nobars_ |
nobars_ function from lme4 package |
Omega.f |
Sample precision matrix |
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 |
RHSForm |
RHSForm function from lme4 package |
RHSForm<- |
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 |
slice_r_me |
Sample R (latent lengths) |
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 |