A collection of functions for computing p-values using permutation tests, authored by Jaromil Frossard. It supports regression, ANOVA, ANCOVA, and includes methods for handling nuisance variables and multiple testing corrections. The dataset also provides an extension for comparing signals from experimental conditions, such as EEG/ERP data.
Use Cases
- Perform omnibus F-tests for regression models based on permutation methods
- Conduct marginal unilateral and bilateral t-tests using resampling techniques
- Compare signals from different experimental conditions (e.g., EEG/ERP) with provided extensions
- Apply multiple testing corrections, including the cluster-mass statistic and threshold-free cluster enhancement
Strengths
- Implements several established methods for handling nuisance variables, citing specific papers from 2010 and 2014
- Provides multiple testing corrections based on cited methodologies from 2007 and 2009
- Includes an extension specifically for the comparison of experimental signals like EEG/ERP
Limitations
- Column-level documentation is absent; field semantics must be inferred after download
- Row count and dataset size are unknown, which may limit suitability assessment
- Last update date is unknown; freshness unverified
Provenance
- Source
- paperswithcode
- Collection Method
- null
- Time Range
- null
- Freshness
- null
- Geography
- null