fix a lot of broken links throught the repo

.all-contributorsrc

@@ -59,7 +59,7 @@
       "login": "s3alfisc",
       "name": "Alexander Fischer",
       "avatar_url": "https://avatars.githubusercontent.com/u/19531450?v=4",
-      "profile": "https://s3alfisc.github.io/blog/",
+      "profile": "https://s3alfisc.github.io/",
       "contributions": [
         "code",
         "infra"
@@ -82,5 +82,5 @@
   "repoType": "github",
   "repoHost": "https://github.com",
   "projectName": "pyfixest",
-  "projectOwner": "s3alfisc"
+  "projectOwner": "py-econometrics"
 }

CONTRIBUTING.md

@@ -2,6 +2,6 @@
 
 Thanks for taking the time to contribute! We appreciate all contributions, from reporting bugs to implementing new features.
 
-Please refer to the [contributing section](https://https://s3alfisc.github.io/pyfixest/contributing.html) of our documentation to get started.
+Please refer to the [contributing section](https://https://py-econometrics.github.io/pyfixest/contributing.html) of our documentation to get started.
 
 We look forward to your contributions!

docs/_quarto.yml

@@ -11,11 +11,11 @@ website:
     favicon: "figures/pyfixest-logo.png"
     #page-footer:
     #  center: |
-    #    Developed by [Alexander Fischer](https://github.com/s3alfisc) and [Styfen Schär](https://github.com/styfenschaer)
+    #    Developed by [Alexander Fischer](https://github.com/py-econometrics) and [Styfen Schär](https://github.com/styfenschaer)
     search: true
     right:
       - icon: github
-        href: https://github.com/s3alfisc/pyfixest/
+        href: https://github.com/py-econometrics/pyfixest/
     left:
       - text: "PyFixest"
         file: pyfixest.md

docs/contributing.qmd

@@ -13,7 +13,7 @@ either Python or econometrics will help, but you really don't need to be a `nump
 
 ## Reporting bugs
 
-We use [GitHub issues](https://github.com/s3alfisc/pyfixest/issues) to track bugs. You can report a bug by opening a new issue or contribute to an existing issue if
+We use [GitHub issues](https://github.com/py-econometrics/pyfixest/issues) to track bugs. You can report a bug by opening a new issue or contribute to an existing issue if
 related to the bug you are reporting.
 
 Before creating a bug report, please check that your bug has not already been reported, and that your bug exists on the latest version of pyfixest. If you find a closed issue that seems to report the same bug you're experiencing, open a new issue and include a link to the original issue in your issue description.
@@ -22,7 +22,7 @@ Please include as many details as possible in your bug report. The information h
 
 ## Suggesting enhancements
 
-We use [GitHub issues](https://github.com/s3alfisc/pyfixest/issues?q=is%3Aissue+is%3Aopen+label%3Aenhancement) to track bugs and suggested enhancements. You can suggest an enhancement by opening a new feature request. Before creating an enhancement suggestion, please check that a similar issue does not already exist.
+We use [GitHub issues](https://github.com/py-econometrics/pyfixest/issues?q=is%3Aissue+is%3Aopen+label%3Aenhancement) to track bugs and suggested enhancements. You can suggest an enhancement by opening a new feature request. Before creating an enhancement suggestion, please check that a similar issue does not already exist.
 
 Please describe the behavior you want and why, and provide examples of how pyfixest would be used if your feature were added.
 

docs/difference-in-differences.ipynb

@@ -233,7 +233,7 @@
     }
    ],
    "source": [
-    "url = \"https://raw.githubusercontent.com/s3alfisc/pyfixest/master/pyfixest/did/data/df_het.csv\"\n",
+    "url = \"https://raw.githubusercontent.com/py-econometrics/pyfixest/master/pyfixest/did/data/df_het.csv\"\n",
     "df_het = pd.read_csv(url)\n",
     "df_het.head()"
    ]

docs/news.qmd

@@ -216,27 +216,27 @@ from pyfixest.did.estimation import did2s, lpdid, event_study
 
 ### Enhancements:
 
-- Good performance improvements for singleton fixed effects detection. Thanks to [@styfenschaer](https://github.com/styfenschaer) for the PR! See [#229](https://github.com/s3alfisc/pyfixest/issues/229).
+- Good performance improvements for singleton fixed effects detection. Thanks to [@styfenschaer](https://github.com/styfenschaer) for the PR! See [#229](https://github.com/py-econometrics/pyfixest/issues/229).
 - Uses the [r2u project](https://github.com/eddelbuettel/r2u) for installing R and R packages on github actions, with great performance improvements.
-- Allows to pass `polars` data frames to `feols()`, `fepois()` and `predict()`. [#232](https://github.com/s3alfisc/pyfixest/issues/232). Thanks to [@vincentarelbundock](https://github.com/s3alfisc/pyfixest/issues/232) for the suggestion!
+- Allows to pass `polars` data frames to `feols()`, `fepois()` and `predict()`. [#232](https://github.com/py-econometrics/pyfixest/issues/232). Thanks to [@vincentarelbundock](https://github.com/py-econometrics/pyfixest/issues/232) for the suggestion!
 
 ### Bug Fixes:
 
-- Missing variables in features were not always handled correctly in `predict()` with `newdata` not `None` in the presence of missing data, which would lead to an error. See [#246](https://github.com/s3alfisc/pyfixest/issues/246) for details.
-- Categorical variables were not always handled correctly in `predict()` with `newdata` not `None`, because the number of fixed effects levels in `newdata` might be smaller than in `data`. In consequence, some levels were not found, which lead to an error. See [#245](https://github.com/s3alfisc/pyfixest/issues/245) for details. Thanks to [@jiafengkevinchen](https://github.com/jiafengkevinchen) for the pointer!
-- Multicollinearity checks for over-identified IV was not implemented correctly, which lead to a dimension error. See [#236](https://github.com/s3alfisc/pyfixest/issues/236) for details.  Thanks to [@jiafengkevinchen](https://github.com/jiafengkevinchen) for the pointer!
-- The number of degrees of freedom `k` was computed incorrectly if columns were dropped from the design matrix `X` in the presence of multicollinearity. See [#235](https://github.com/s3alfisc/pyfixest/issues/235) for details.  Thanks to [@jiafengkevinchen](https://github.com/jiafengkevinchen) for the pointer!
-- If all variables were dropped due to multicollinearity, an unclear and imprecise error message was produced. See [#228](https://github.com/s3alfisc/pyfixest/issues/228) for details. Thanks to [@manferdinig](https://github.com/manferdinig) for the pointer!
-- If selection `fixef_rm = 'singleton'`, `feols()` and `fepois()` would fail, which has been fixed. [#192](https://github.com/s3alfisc/pyfixest/issues/192)
+- Missing variables in features were not always handled correctly in `predict()` with `newdata` not `None` in the presence of missing data, which would lead to an error. See [#246](https://github.com/py-econometrics/pyfixest/issues/246) for details.
+- Categorical variables were not always handled correctly in `predict()` with `newdata` not `None`, because the number of fixed effects levels in `newdata` might be smaller than in `data`. In consequence, some levels were not found, which lead to an error. See [#245](https://github.com/py-econometrics/pyfixest/issues/245) for details. Thanks to [@jiafengkevinchen](https://github.com/jiafengkevinchen) for the pointer!
+- Multicollinearity checks for over-identified IV was not implemented correctly, which lead to a dimension error. See [#236](https://github.com/py-econometrics/pyfixest/issues/236) for details.  Thanks to [@jiafengkevinchen](https://github.com/jiafengkevinchen) for the pointer!
+- The number of degrees of freedom `k` was computed incorrectly if columns were dropped from the design matrix `X` in the presence of multicollinearity. See [#235](https://github.com/py-econometrics/pyfixest/issues/235) for details.  Thanks to [@jiafengkevinchen](https://github.com/jiafengkevinchen) for the pointer!
+- If all variables were dropped due to multicollinearity, an unclear and imprecise error message was produced. See [#228](https://github.com/py-econometrics/pyfixest/issues/228) for details. Thanks to [@manferdinig](https://github.com/manferdinig) for the pointer!
+- If selection `fixef_rm = 'singleton'`, `feols()` and `fepois()` would fail, which has been fixed. [#192](https://github.com/py-econometrics/pyfixest/issues/192)
 
 ### Dependency Requirements
 
-- For now, sets `formulaic` versions to be `0.6.6` or lower as version `1.0.0` seems to have introduced a problem with the `i()` operator, See [#244](https://github.com/s3alfisc/pyfixest/issues/244) for details.
+- For now, sets `formulaic` versions to be `0.6.6` or lower as version `1.0.0` seems to have introduced a problem with the `i()` operator, See [#244](https://github.com/py-econometrics/pyfixest/issues/244) for details.
 - Drops dependency on `pyhdfe`.
 
 ## PyFixest 0.11.1
 
-- Fixes some bugs around the computation of R-squared values (see [issue #103](https://github.com/s3alfisc/pyfixest/issues/103)).
+- Fixes some bugs around the computation of R-squared values (see [issue #103](https://github.com/py-econometrics/pyfixest/issues/103)).
 - Reports R-squared values again when calling `.summary()`.
 
 ## PyFixest 0.11.0
@@ -253,7 +253,7 @@ Fixes bugs with i(var1, var2) syntax introduced with PyFixest 0.10.10.
 
 ## PyFixest 0.10.10
 
-Fixes a bug with variable interactions via `i(var)` syntax. See [issue #221](https://github.com/s3alfisc/pyfixest/issues/211).
+Fixes a bug with variable interactions via `i(var)` syntax. See [issue #221](https://github.com/py-econometrics/pyfixest/issues/211).
 
 ## PyFixest 0.10.9
 
@@ -275,7 +275,7 @@ from pyfixest.visualize import iplot
 import pandas as pd
 import numpy as np
 
-df_het = pd.read_csv("https://raw.githubusercontent.com/s3alfisc/pyfixest/master/pyfixest/did/data/df_het.csv")
+df_het = pd.read_csv("https://raw.githubusercontent.com/py-econometrics/pyfixest/master/pyfixest/did/data/df_het.csv")
 
 fit = did2s(
     df_het,
@@ -345,7 +345,7 @@ pf.etable([fit_twfe, fit_did2s])
 
 ## PyFixest 0.10.5
 
-- Fixes a big in IV estimation that would trigger an error. See [here](https://github.com/s3alfisc/pyfixest/issues/197) for details. Thanks to @aeturrell for reporting!
+- Fixes a big in IV estimation that would trigger an error. See [here](https://github.com/py-econometrics/pyfixest/issues/197) for details. Thanks to @aeturrell for reporting!
 
 ## PyFixest 0.10.4
 
@@ -420,7 +420,7 @@ np.allclose(res_pyhdfe , res_pyfixest)
 
 ## PyFixest 0.9.10
 
-- Fixes a big in the `wildboottest` method (see [#158](https://github.com/s3alfisc/pyfixest/issues/158)).
+- Fixes a big in the `wildboottest` method (see [#158](https://github.com/py-econometrics/pyfixest/issues/158)).
 - Allows to run a wild bootstrap after fixed effect estimation.
 
 ## PyFixest 0.9.9
@@ -438,7 +438,7 @@ Fixes a bug in `predict()` produced when multicollinear variables are dropped.
 
 ## PyFixest 0.9.6
 
-Improved Collinearity handling. See [#145](https://github.com/s3alfisc/pyfixest/issues/145)
+Improved Collinearity handling. See [#145](https://github.com/py-econometrics/pyfixest/issues/145)
 
 ## PyFixest 0.9.5
 

docs/pyfixest.md

@@ -7,13 +7,13 @@ Version](https://img.shields.io/pypi/v/pyfixest.svg)](https://pypi.org/project/p
 ![PyPI - Python
 Version](https://img.shields.io/pypi/pyversions/pyfixest.svg) ![PyPI -
 Downloads](https://img.shields.io/pypi/dm/pyfixest.svg)
-[![image](https://codecov.io/gh/s3alfisc/pyfixest/branch/master/graph/badge.svg)](https://codecov.io/gh/s3alfisc/pyfixest) [![All Contributors](https://img.shields.io/badge/all_contributors-5-orange.svg?style=flat-square)](#contributors-)
+[![image](https://codecov.io/gh/py-econometrics/pyfixest/branch/master/graph/badge.svg)](https://codecov.io/gh/py-econometrics/pyfixest) [![All Contributors](https://img.shields.io/badge/all_contributors-5-orange.svg?style=flat-square)](#contributors-)
 
 `PyFixest` is a Python implementation of the formidable [fixest](https://github.com/lrberge/fixest) package for fast high-dimensional fixed effects regression.
 
-The package aims to mimic `fixest` syntax and functionality as closely as Python allows: if you know `fixest` well, the goal is that you won't have to read the docs to get started! In particular, this means that all of `fixest's` defaults are mirrored by `PyFixest` - currently with only [one small exception](https://github.com/s3alfisc/pyfixest/issues/260).
+The package aims to mimic `fixest` syntax and functionality as closely as Python allows: if you know `fixest` well, the goal is that you won't have to read the docs to get started! In particular, this means that all of `fixest's` defaults are mirrored by `PyFixest` - currently with only [one small exception](https://github.com/py-econometrics/pyfixest/issues/260).
 
-Nevertheless, for a quick introduction, you can take a look at the [quickstart](https://s3alfisc.github.io/pyfixest/quickstart.html) or the regression chapter of [Arthur Turrell's](https://github.com/aeturrell) book on [Coding for Economists](https://aeturrell.github.io/coding-for-economists/econmt-regression.html#imports).
+Nevertheless, for a quick introduction, you can take a look at the [quickstart](https://py-econometrics.github.io/pyfixest/quickstart.html) or the regression chapter of [Arthur Turrell's](https://github.com/aeturrell) book on [Coding for Economists](https://aeturrell.github.io/coding-for-economists/econmt-regression.html#imports).
 
 ## Features
 
@@ -22,7 +22,7 @@ Nevertheless, for a quick introduction, you can take a look at the [quickstart](
 -   Multiple Estimation Syntax
 -   Several **Robust** and **Cluster Robust Variance-Covariance** Estimators
 -   **Wild Cluster Bootstrap** Inference (via
-    [wildboottest](https://github.com/s3alfisc/wildboottest))
+    [wildboottest](https://github.com/py-econometrics/wildboottest))
 -   **Difference-in-Differences** Estimators:
     -   The canonical Two-Way Fixed Effects Estimator
     -   [Gardner's two-stage
@@ -45,7 +45,7 @@ pip install -U pyfixest
 or the development version from github by running
 
 ``` py
-pip install git+https://github.com/s3alfisc/pyfixest.git
+pip install git+https://github.com/py-econometrics/pyfixest.git
 ```
 
 ## Benchmarks
@@ -209,13 +209,13 @@ Thanks goes to these wonderful people:
 <table>
   <tbody>
     <tr>
-      <td align="center" valign="top" width="14.28%"><a href="https://github.com/styfenschaer"><img src="https://avatars.githubusercontent.com/u/79762922?v=4?s=100" width="100px;" alt="styfenschaer"/><br /><sub><b>styfenschaer</b></sub></a><br /><a href="https://github.com/s3alfisc/pyfixest/commits?author=styfenschaer" title="Code">💻</a></td>
-      <td align="center" valign="top" width="14.28%"><a href="https://www.nkeleher.com/"><img src="https://avatars.githubusercontent.com/u/5607589?v=4?s=100" width="100px;" alt="Niall Keleher"/><br /><sub><b>Niall Keleher</b></sub></a><br /><a href="#infra-NKeleher" title="Infrastructure (Hosting, Build-Tools, etc)">🚇</a> <a href="https://github.com/s3alfisc/pyfixest/commits?author=NKeleher" title="Code">💻</a></td>
-      <td align="center" valign="top" width="14.28%"><a href="http://wenzhi-ding.com"><img src="https://avatars.githubusercontent.com/u/30380959?v=4?s=100" width="100px;" alt="Wenzhi Ding"/><br /><sub><b>Wenzhi Ding</b></sub></a><br /><a href="https://github.com/s3alfisc/pyfixest/commits?author=Wenzhi-Ding" title="Code">💻</a></td>
-      <td align="center" valign="top" width="14.28%"><a href="https://apoorvalal.github.io/"><img src="https://avatars.githubusercontent.com/u/12086926?v=4?s=100" width="100px;" alt="Apoorva Lal"/><br /><sub><b>Apoorva Lal</b></sub></a><br /><a href="https://github.com/s3alfisc/pyfixest/commits?author=apoorvalal" title="Code">💻</a> <a href="https://github.com/s3alfisc/pyfixest/issues?q=author%3Aapoorvalal" title="Bug reports">🐛</a></td>
-      <td align="center" valign="top" width="14.28%"><a href="https://juanitorduz.github.io"><img src="https://avatars.githubusercontent.com/u/22996444?v=4?s=100" width="100px;" alt="Juan Orduz"/><br /><sub><b>Juan Orduz</b></sub></a><br /><a href="#infra-juanitorduz" title="Infrastructure (Hosting, Build-Tools, etc)">🚇</a> <a href="https://github.com/s3alfisc/pyfixest/commits?author=juanitorduz" title="Code">💻</a></td>
-      <td align="center" valign="top" width="14.28%"><a href="https://s3alfisc.github.io/blog/"><img src="https://avatars.githubusercontent.com/u/19531450?v=4?s=100" width="100px;" alt="Alexander Fischer"/><br /><sub><b>Alexander Fischer</b></sub></a><br /><a href="https://github.com/s3alfisc/pyfixest/commits?author=s3alfisc" title="Code">💻</a> <a href="#infra-s3alfisc" title="Infrastructure (Hosting, Build-Tools, etc)">🚇</a></td>
-      <td align="center" valign="top" width="14.28%"><a href="http://www.aeturrell.com"><img src="https://avatars.githubusercontent.com/u/11294320?v=4?s=100" width="100px;" alt="aeturrell"/><br /><sub><b>aeturrell</b></sub></a><br /><a href="#tutorial-aeturrell" title="Tutorials">✅</a> <a href="https://github.com/s3alfisc/pyfixest/commits?author=aeturrell" title="Documentation">📖</a> <a href="#promotion-aeturrell" title="Promotion">📣</a></td>
+      <td align="center" valign="top" width="14.28%"><a href="https://github.com/styfenschaer"><img src="https://avatars.githubusercontent.com/u/79762922?v=4?s=100" width="100px;" alt="styfenschaer"/><br /><sub><b>styfenschaer</b></sub></a><br /><a href="https://github.com/py-econometrics/pyfixest/commits?author=styfenschaer" title="Code">💻</a></td>
+      <td align="center" valign="top" width="14.28%"><a href="https://www.nkeleher.com/"><img src="https://avatars.githubusercontent.com/u/5607589?v=4?s=100" width="100px;" alt="Niall Keleher"/><br /><sub><b>Niall Keleher</b></sub></a><br /><a href="#infra-NKeleher" title="Infrastructure (Hosting, Build-Tools, etc)">🚇</a> <a href="https://github.com/py-econometrics/pyfixest/commits?author=NKeleher" title="Code">💻</a></td>
+      <td align="center" valign="top" width="14.28%"><a href="http://wenzhi-ding.com"><img src="https://avatars.githubusercontent.com/u/30380959?v=4?s=100" width="100px;" alt="Wenzhi Ding"/><br /><sub><b>Wenzhi Ding</b></sub></a><br /><a href="https://github.com/py-econometrics/pyfixest/commits?author=Wenzhi-Ding" title="Code">💻</a></td>
+      <td align="center" valign="top" width="14.28%"><a href="https://apoorvalal.github.io/"><img src="https://avatars.githubusercontent.com/u/12086926?v=4?s=100" width="100px;" alt="Apoorva Lal"/><br /><sub><b>Apoorva Lal</b></sub></a><br /><a href="https://github.com/py-econometrics/pyfixest/commits?author=apoorvalal" title="Code">💻</a> <a href="https://github.com/py-econometrics/pyfixest/issues?q=author%3Aapoorvalal" title="Bug reports">🐛</a></td>
+      <td align="center" valign="top" width="14.28%"><a href="https://juanitorduz.github.io"><img src="https://avatars.githubusercontent.com/u/22996444?v=4?s=100" width="100px;" alt="Juan Orduz"/><br /><sub><b>Juan Orduz</b></sub></a><br /><a href="#infra-juanitorduz" title="Infrastructure (Hosting, Build-Tools, etc)">🚇</a> <a href="https://github.com/py-econometrics/pyfixest/commits?author=juanitorduz" title="Code">💻</a></td>
+      <td align="center" valign="top" width="14.28%"><a href="https://py-econometrics.github.io/blog/"><img src="https://avatars.githubusercontent.com/u/19531450?v=4?s=100" width="100px;" alt="Alexander Fischer"/><br /><sub><b>Alexander Fischer</b></sub></a><br /><a href="https://github.com/py-econometrics/pyfixest/commits?author=py-econometrics" title="Code">💻</a> <a href="#infra-py-econometrics" title="Infrastructure (Hosting, Build-Tools, etc)">🚇</a></td>
+      <td align="center" valign="top" width="14.28%"><a href="http://www.aeturrell.com"><img src="https://avatars.githubusercontent.com/u/11294320?v=4?s=100" width="100px;" alt="aeturrell"/><br /><sub><b>aeturrell</b></sub></a><br /><a href="#tutorial-aeturrell" title="Tutorials">✅</a> <a href="https://github.com/py-econometrics/pyfixest/commits?author=aeturrell" title="Documentation">📖</a> <a href="#promotion-aeturrell" title="Promotion">📣</a></td>
     </tr>
   </tbody>
 </table>