gneiss changelog

Version 0.3.0

Added q2 support for linear regression and linear mixed effects models #98
Added q2 support hierarchical clustering #116
Added interactive heatmaps with highlights with matplotlib #114
Added tree visualizations for unrooted trees with bokeh #112
Added support of cross validation for ordinary least squares #101

Version 0.2.1

Added heatmap dendrogram plotting functionality #87
Added principal balance analysis heuristic using proportionality and wards clustering algorithm #83

Version 0.2.0

Features

Added filehandle support for write and read io in RegressionResults object #77

Version 0.1.3

Features

Added write and read io for RegressionResults object #72

Version 0.1.2

Features

Added ladderize and gradient_sort #29

Bug fixes

Version 0.0.2

Features

Added statsmodels inference #22
Added support for ordinary least squares regression #33
Added support for linear mixed effects models #38
Added RegressionResults object to summarize statistics from statistical analyses
Adding in a niche sorting algorithm gneiss.sort.niche_sort that can generate a band table given a gradient #16
Adding in utility functions for handing feature tables, metadata, and trees. #12
Adding GPL license.

Bug fixes