PyFixest 0.21.0

Highlights

• We have a new and improved quickstart section, thanks to work by @juanitorduz 🎉
• We add a ritest module for randomization inference:

import numpy as np
import pyfixest as pf
rng = np.random.default_rng(2332)

data = pf.get_data(N = 100_000, seed = 1432)
fit = pf.feols("Y ~ f3 + X1 | f1", data=data)

fit.ritest(resampvar = "f3", reps = 1000)

Full Changelog

• Fix small bugs with weights by @s3alfisc in #437
• [pre-commit.ci] pre-commit autoupdate by @pre-commit-ci in #438
• Fix weights r2 bug by @s3alfisc in #439
• Bump requests from 2.31.0 to 2.32.2 by @dependabot in #440
• Add more intro material quick start by @juanitorduz in #436
• Set default fig size per plot backend by @juanitorduz in #442
• Fix typos in quickstart by @s3alfisc in #443
• Add support for randomization inference by @s3alfisc in #431
• Ritest tweaks & bug fixes by @s3alfisc in #445
• bump version to 0.21.0 / release version 0.21.0 by @s3alfisc in #449

Full Changelog: v0.20.0...v0.21.0