Stable Isotope Bayesian Ellipses in R

Fits bi-variate ellipses to stable isotope data using Bayesian inference with the aim being to describe and compare their isotopic niche.


SIBER 2.1.3

  • Contains a hotfix owing to a change to 'spatstat' detailed below
  • swapped package spatstat for spatstat.utils as per instructions from their package maintainers 23/03/2017
  • New functions siberCentroids, specificCentroidVectors and allCentoidVectors added to allow pairwise comparison of the locations of two groups using vectors. Illustrated in an accompanying vignette.

SIBER 2.1.2

  • added ability to specify custom pch point orders in plotSiberObject()
  • added ... to plotGroupHulls

SIBER 2.1.1

  • N.B. an error during uploading to CRAN meant a release was never lodged. I have moved on to v2.1.2 for the next release as above.
  • hotfix for bug in bayesianOverlap - thanks Mark Nowak for spotting this.
  • Important: install from github if you want to use bayesianOverlap for now until I can push a hotfix to CRAN. devtools::install_github("andrewljackson/SIBER", build_vingettes = TRUE)
  • examples added to maxLikOverlap() and pointsToEllipsoid().

SIBER 2.1.0

  • Added functions to calculate whether arbitrary points are inside or outside ellipses or higher dimensional ellipsoids along with illustrative vignettes.
  • Changed method of calculation of angle of ellipse with x-axis to using atan in place of asin which is a more elegant way of ensuring the sign of the returned angle is correct.
  • Small sample size correction for drawing ellipses can now be toggled using addEllipse(small.sample = TRUE, m = m) effectively meaning SEAc or SEA can be illustrated.
  • New vignette added illustrating how to calculate overlap between two ellipses. Two new functions detailed below greatly improve the ease with which this can be applied.
  • Fixed three bugs in the ellipse overlap vignette. Thanks to Sarina for pointing this out. These are no longer an issue as the new functions detailed below replace this code in the vignette, but it was helpful for me during the creation of these functions. Thanks.
  • Added a new function bayesianOverlap() that calculates the posterior overlap between ellipses fitted to two groups. Thanks to Josh Stewart for forcing my hand on this long-overdue feature.
  • Added a new function maxLikOverlap() to ease the calculation of overlap between ellipses using the ML estimated ellipses which previously required more manually coding than was ideal. Thanks Mark Nowak and SarinaJ for spotting some bugs and helping work them out.
  • added new functions ellipseInOut() and pointsToEllipsoid to enable testing of whether points lie inside or outside an n-dimensinoal ellipsoid, including the bivariate ellipse. These are useful for testing that the quantile prediction ellipses do indeed contain the expected number of data points from a sample. It might also be useful for assignment, identification of outliers, or measures of overlap of individual data points with other ellipses.

SIBER 2.0.3

  • Added a new vignette illustrating how to add custom ellipses to each group manually using the function addEllipse

SIBER 2.0.2

  • Bug in Group labels as character strings fixed
  • Community labels as character strings now implemented

SIBER 2.0.1

  • Group labels can now be strings and do not have to be sequential integers (#14)


  • Major overhaul of all code and underlying fitting algorithms
  • Fitting is now via JAGS
  • Data are z-score transformed prior to fitting to improve convergence
  • Data structures have now changed from previous versions embedded within SIAR so you will have to reformat your data and write new scripts to interface with the new code

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


2.1.3 by Andrew Jackson, 10 months ago

Browse source code at

Authors: Andrew Jackson and Andrew Parnell

Documentation:   PDF Manual  

GPL (>= 2) license

Imports hdrcde, graphics, grDevices, mnormt, rjags, spatstat.utils, stats, viridis, tidyr, dplyr, ggplot2, magrittr

Suggests knitr

See at CRAN