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Install
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Documentation
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Community
Releases
About
Input and Output (skbio.io)
Biological Sequences (skbio.sequence)
Sequence Alignments (skbio.alignment)
Trees and Phylogenetics (skbio.tree)
Community Diversity (skbio.diversity)
Multivariate Statistics (skbio.stats)
Biological Embeddings (skbio.embedding)
Data Table (skbio.table)
Metadata (skbio.metadata)
Workflow construction (skbio.workflow)
Utilities for Developers (skbio.util)

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Distance matrix-based statistics (skbio.stats.distance)

Ordination methods (skbio.stats.ordination)

Composition Statistics (skbio.stats.composition)

skbio.stats.subsample_counts
skbio.stats.isubsample

Evolutionary statistics (skbio.stats.evolve)
Gradient analyses (skbio.stats.gradient)
Empirical Power Estimation (skbio.stats.power)

Multivariate Statistics (skbio.stats)
skbio.stats.gradient.AverageGradientANOVA
skbio.stats....

skbio.stats.gradient.AverageGradientANOVA.ge#

AverageGradientANOVA.__ge__(value, /)#: Return self>=value.

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AverageGradientANOVA.__ge__()

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