NEWS.md

In betapart: Partitioning Beta Diversity into Turnover and Nestedness Components

betapart 1.5.6

Modified function decay.model() to implement the block permutation described in Martínez-Santalla et al 2022 (J. Biogeogr.) for assessing the significance of the distance decay model

betapart 1.5.5

A bug of functional.betapart.core() was fixed to run it in parallel with multi = TRUE

betapart 1.5.4

Updated functional.betapart.core.pairwise() to get vertice coordinates in the output 'details'

betapart 1.5.3

• the libraries doParallel/parallel were replaced by doSNOW/snow for parallel computations.

new features

functional.betapart.core() was updated. Options can be passed to qhull to prevent some crashes and a progress bar can be displayed.

When setting multi=TRUE, the function stop earlier if the number of communities is too important.

New fonction to control options passed to qhull for convexhull estimation:

• qhull.opt()

New function to compute rapidly pair-wise dissimilarty matrices:

• functional.betapart.core.pairwise()

functional.beta.pair was updated to integrate functional.betapart.core.pairwise

betapart 1.5.2

New features

Updated functional.betapart.core() to allow internal parallel computing

New function to customize parameters for the internal parallel computing :

• beta.para.control()

betapart 1.5.1

New features

Updated functional.betapart.core() to allow parallel computing

betapart 1.5.0

New features

New functions to fit, plot and bootstrap distance-decay patterns

betapart 1.5.0 includes three new functions:

• decay.model() fits a negative-exponential or mower law function describing the decay of assemblage similarity with sptatial distance.

• plot.decay() allows plotting the curves fitted with decay.model().

• boot.coefs.decay() bootstraps the parameters of the functions fitted with decay.model().

betapart documentation built on April 6, 2022, 5:05 p.m.