| SIBER-package | SIBER: A package for fitting Bayesian Ellipses to Stable Isotope Data |
| addEllipse | Adds an ellipse around some data to an existing plot |
| bayesianLayman | Calculate Layman metrics on Bayesian postrior samples of a community |
| communityMetricsML | Calculate the point estimates of the Layman metrics for each community |
| createSiberObject | Read in SIBER format data and generate the SIBER object |
| demo.siber.data | Simulated d13C and d15N isotope-space data |
| ellipseBackTransform | Back-transform a z-score siber ellipse to original location and scale. |
| extractPosteriorMeans | Extract posterior means from call to 'siberMVN' |
| fitEllipse | Fit a multivariate normal distribution to x and y data using jags |
| genCircle | Create a sequence of points on a circle |
| generateSiberCommunity | A utility function to simulate a single community comprised of groups |
| generateSiberData | A utility function to simulate isotope data for several communities |
| generateSiberGroup | A utility function to simulate a single group of data |
| groupMetricsML | Calculate maximum likelihood based measures of dispersion of bivariate data |
| hullArea | Calculate the area of a convex hull given its coordinates |
| laymanMetrics | Calculates the 6 Layman metrics on a vector of x and y data |
| plotCommunityHulls | Adds convex hulls to each community to an existing plot |
| plotGroupEllipses | Adds ellipses to an existing plot for each of your groups |
| plotGroupHulls | Plots illustrative convex hulls for each group within all communities |
| plotSiberObject | Creates an isotope biplot and provides a wrapper to ellipse and hull plotting |
| posteriorSEA | Calculate the SEA based on a posterior distribution of Sigma |
| SIBER | SIBER: A package for fitting Bayesian Ellipses to Stable Isotope Data |
| siberConvexhull | Calculate metrics and plotting information for convex hulls |
| siberDensityPlot | Plot credible intervals as shaded boxplots using 'hdr.boxplot' |
| siberEllipses | Calculate the point estimates of the Layman metrics for each community |
| siberMVN | Fit Bayesian bivariate normal distributions to each group in each community |
| sigmaSEA | Calculate metrics corresponding to the Standard Ellipse based on a covariance matrix |