Nullmodeller
Nullmodeller is a term used in statistics and data analysis to describe a software framework, library, or methodology for generating and evaluating null models—randomized representations of data that preserve specified structural properties. The objective is to assess whether an observed pattern deviates significantly from what would be expected under a null hypothesis. Nullmodeller tools typically provide a suite of randomization procedures, such as permutation of labels, bootstrap resampling, phase randomization for time series, or network rewiring, each designed to enforce constraints like preserving marginals, degree sequences, spatial neighborhoods, or temporal autocorrelation.
In practice, a nullmodeller workflow involves loading a dataset, specifying the null model constraints, and running
Software implementations of nullmodeller are often modular and interoperable with common data formats. Outputs usually include
Limitations include sensitivity to the choice of null model and the potential for biased conclusions if the