mobr - v.3.0.2

version 3.0.2

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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.

- R
Published by dmcglinn over 1 year ago

mobr - 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.

- R
Published by dmcglinn over 1 year ago

mobr - v3.0.0

version 3.0.0

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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: https://github.com/MoBiodiv/mobr/issues/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 https://github.com/MoBiodiv/mobr/pull/257
• Merge beta_C functions into mobr dev branch by @dmcglinn in https://github.com/MoBiodiv/mobr/pull/262
• Add links to DESCRIPTION by @olivroy in https://github.com/MoBiodiv/mobr/pull/272
• Spatially-explicit rarefaction by @FelixMay in https://github.com/MoBiodiv/mobr/pull/271
• Update of mobr from 2.0.2 to 3.0.0 by @dmcglinn in https://github.com/MoBiodiv/mobr/pull/273

New Contributors

• @AlbanSagouis made their first contribution in https://github.com/MoBiodiv/mobr/pull/257
• @olivroy made their first contribution in https://github.com/MoBiodiv/mobr/pull/272

Full Changelog: https://github.com/MoBiodiv/mobr/compare/2.0.0...v3.0.0

- R
Published by dmcglinn over 1 year ago

mobr - 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.

- R
Published by dmcglinn over 5 years ago

mobr - 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)

- R
Published by dmcglinn over 7 years ago