Statistical Diversity Lab

The StatDivLab develops rigorous statistical methods to analyze microbiome and biodiversity data

United States of America

Pinned Repositories

corncob
Count Regression for Correlated Observations with the Beta-binomial
Language:R106 13 12223
groves
Tools for analyzing trees
Language:R14 5 01
happi
A Hierarchical Approach to Pangenomics Inference
Language:R11 4 294
paramedic
Predicting Absolute and Relative Abundance by Modeling Efficiency to Derive Intervals and Concentrations
Language:R14 3 151
q2-breakaway
QIIME2 plug-in for breakaway
Language:Python8 2 64
radEmu
Language:R54 4 569
raoBust
Generalized Linear Models with robust and non-robust Wald and Rao (score) tests
Language:R7 2 114
rigr
Regression, Inference, and General Data Analysis Tools for R
Language:R10 5 1063
stamps2019
statdivlab's teaching materials for STAMPS @ the MBL in 2019
Language:HTML12 4 01
tinyvamp
Language:R19 5 122

Statistical Diversity Lab's Repositories

statdivlab/q2-breakaway
QIIME2 plug-in for breakaway
Language:Python84
statdivlab/rre
Replicate Richness Estimation
Language:R
statdivlab/stamps2019
statdivlab's teaching materials for STAMPS @ the MBL in 2019
Language:HTML121
statdivlab/CatchMore
Estimating diversity
Language:R
statdivlab/q2-corncob
Language:R1
statdivlab/mbqc
phyloseq objects from the Microbiome Quality Control project
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