Python rewrite of emmeans (estimated marginal means)
Project description
pyemmeans
pyemmeans is a Python rewrite of core emmeans workflows for estimated marginal means (EMMs), contrasts, trends, and post-hoc inference.
Install
pip install pyemmeans
Quick Start
from pyemmeans import emmeans, pairs, ref_grid
# `fit` can be a supported statsmodels model result
rg = ref_grid(fit)
emm = emmeans(rg, "treatment")
print(emm.summary())
print(pairs(emm).summary(infer=(False, True)))
Highlights
- Core EMM APIs:
ref_grid,emmeans,contrast,pairs,summary,confint,test - Trend and joint testing support:
emtrends,joint_tests - Multiple weight modes in
emmeans(..., weights=...) - Parity-oriented tests against R fixtures
Project Notes
This package is a parity-oriented Python implementation inspired by the R emmeans ecosystem.
Authorship and Attribution
- Python rewrite author: Tuo Zhao (
tourzhao@gatech.edu) - Original R
emmeanspackage: developed by its R authors and contributors - Full attribution details are included in
AUTHORS.mdin the source distribution.
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