v.3.0.2

version 3.0.2

---

Minor update

• Decrease the amount of redundant documentation text by using inherit
• Create functions get_samples and calc_comm_div_ci which together allow
  the user to compute confidence intervals for diversity metrics
• Resurrect the old get_mob_stats function for making comparisons in diversity
  metrics between groups using confidence intervals and permutation tests.

v.3.0.1

Minor update

• Improve documentation by including more references in help files
• add argument extrapolate to the function calc_beta_div

The primary reason for documenting this release is that it coincides with the acceptance of the article:

McGlinn, D.J., S.A. Blowes, M. Dornelas, T. Engel, I.S. Martins, H. Shimadzu, N.J. Gotelli, A. Magurran, B. McGill, and J.M. Chase. Disentangling nonrandom structure from random placement when estimating β-diversity through space or time. Ecosphere.

which uses this version of the R package in its analysis.

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

What's Changed

• control for fail when effort = NA and index = 'S_n' by @AlbanSagouis in #257
• Merge beta_C functions into mobr dev branch by @dmcglinn in #262
• Add links to DESCRIPTION by @olivroy in #272
• Spatially-explicit rarefaction by @FelixMay in #271
• Update of mobr from 2.0.2 to 3.0.0 by @dmcglinn in #273

New Contributors

• @AlbanSagouis made their first contribution in #257
• @olivroy made their first contribution in #272

Full Changelog: 2.0.0...v3.0.0

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)