Null Models for Categorical and Continuous Community Matrices
Column-constrained categorical randomization (c0cat)
Categorical curveball randomization (curvecat)
Generate a batch of null matrices using nullcat()
Nullcat-based commsim (sequential / Markov chain)
Nullcat-based commsim (non-sequential)
Supported nullcat methods
Categorical matrix randomization
Generate a batch of null matrices using quantize()
Quantile-based quantize commsim (sequential / Markov chain)
Quantize-based commsim (non-sequential)
Prepare stratified null model overhead for quantize()
Stratified randomization of a quantitative community matrix
Row-constrained categorical randomization (r0cat)
Bin quantitative data into strata
Suggest a reasonable n_iter for a randomization
Categorical swap randomization (swapcat)
Trace diagnostics for categorical randomizations
Trial-swap categorical randomization (tswapcat)
Provides null model algorithms for categorical and quantitative community ecology data. Extends classic binary null models (e.g., 'curveball', 'swap') to work with categorical data. Provides a stratified randomization framework for continuous data.
Useful links