Pyfixest

Latest version: v0.22.0

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0.9.9

- Adds support for `wildboottest` for Python `3.11`.

0.9.8

- Fixes a couple more bugs in the `predict()` and `fixef()` methods.
- The `predict()` argument `data` is renamed to `newdata`.

0.9.7

Fixes bug in in `fixef()`. 147

0.9.6

Improved Collinearity handling. See [145](https://github.com/s3alfisc/pyfixest/issues/145)

0.9.5

- Moves plotting from matplotlib to lets-plot.
- Fixes a few minor bugs in plotting and the `fixef()` method.

0.9.1

Breaking API changes

It is no longer required to initiate an object of type `Fixest` prior to running `feols` or `fepois`. Instead,
you can now simply use `feols()` and `fepois()` as functions, just as in `fixest`. Both function can be found in an
`estimation` module and need to obtain a `pd.DataFrame` as a function argument:

py
from pyfixest.estimation import fixest, fepois
from pyfixest.utils import get_data

data = get_data()
fit = feols("Y ~ X1 | f1", data = data, vcov = "iid")


Calling `feols()` will return an instance of class `Feols`, while calling `fepois()` will return an instance of class `Fepois`.
Multiple estimation syntax will return an instance of class `FixestMulti`.

Post processing works as before via `.summary()`, `.tidy()` and other methods.

New Features

A summary function allows to compare multiple models:

py
from pyfixest.summarize import summary
fit2 = feols("Y ~ X1 + X2| f1", data = data, vcov = "iid")
summary([fit, fit2])


Visualization is possible via custom methods (`.iplot()` & `.coefplot()`), but a new module allows to visualize
a list of `Feols` and/or `Fepois` instances:

py
from pyfixest.visualize import coefplot, iplot
coefplot([fit, fit2])


The documentation has been improved (though there is still room for progress), and the code has been cleaned up a
bit (also lots of room for improvements).

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