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
Major update
new features
calc_comm_divnow replacesget_mob_stats. The ancillary plotting functionplot.mob_statsis now replaced withplot_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_rarefactionis 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.beta_Cby Thore Engel has now been absorbed into themobrpackage. Use functioncalc_beta_divorcalc_comm_divwithbetain thescalesargument to compute coverage based beta diversity. Note the index in this case isS_C(i.e., richness S for a given level of coverage C)mobrcalledbeta_div_demo