v3.0.0

version 3.0.0

---

Major update

new features

• calc_comm_div now replaces get_mob_stats. The ancillary plotting function
  plot.mob_stats is now replaced with plot_comm_div. We hope to eventually
  add back in bootstrapping confidence intervals for the statistics but that is
  not currently supported. If you would like to know more about this design
  decision see the discussion here: #255.
• plot_rarefaction is a bit more versatile with many new arguments
  that provide options for smoothing or averaging rarefaction curves
  when making comparisons within or between groups respectively.
• The R package beta_C by Thore Engel has now been absorbed into
  the mobr package. Use function calc_beta_div or calc_comm_div
  with beta in the scales argument to compute coverage based beta
  diversity. Note the index in this case is S_C (i.e., richness S for a
  given level of coverage C)
• a vignette was added to demonstrate how to make computations of beta
  diversity using mobr called beta_div_demo

v2.0.0

This is the second major release of the mobr package. This is the first version sent to CRAN. The major new features revolve around the multi-scale analysis which has been generalized to work along continuous enviornmental gradients. Additional new features include: a new flavor of spatial rarefaction, improved documentation, testing of the rarefaction algo.

v1.0

First major release of the package.

Features:

• carry out methods described in McGlinn et al. 2018
• compute four types of rarefaction curves
• compare differences in rarefaction between discrete explanatory variables (e.g., treatments)