Name: Alexander Fischer
Type: User
Bio: Data Scientist @trivago
Location: Düsseldorf
In my free time, I develop R and Python packages that implement various inference procedures for linear regression. Every now and then, I write about these packages on my blog.
actions_tests
test github actions with Julia and R to test wildboottestjlr against fwildclusterboot
awesome-causal-inference
A curated list of causal inference libraries, resources, and applications.
blog
https://s3alfisc.github.io/blog
clubsandwich
Cluster-robust (sandwich) variance estimators with small-sample corrections
clusterederrorssims
clusteredErrorsSims bundles multiple functions to explore properties of several inference procedures when regression error terms are clustered into few groups.
clustersims
simulations for inference with clustered errors
coding-for-economists
This repository hosts the code behind the online book, Coding for Economists.
coverage-badge
Create badges/shields for your Python test coverage!
crv3j
Fast CRV3 Jackknife after MacKinnon, Nielsen & Webb (2022)
dev_guide
rOpenSci Packages: Development, Maintenance, and Peer Review
etwfe
Extended two-way fixed effects
fastreg
Fast sparse regressions with advanced formula syntax. OLS, GLM, Poisson, Maxlike, and more. High-dimensional fixed effects.
fixest
Fixed-effects estimations
fwildclusterboot
Fast Wild Cluster Bootstrap Inference for Regression Models / OLS in R. Additionally, R port to WildBootTests.jl via the JuliaConnectoR.
fwildclusterbootmini
mini fwildclusterboot (without all the c++ code)
juliaconnector.utils
Utility functions for packages that link R and Julia via the JuliaConnectoR
linearmodels
Additional linear models including instrumental variable and panel data models that are missing from statsmodels.
netlify_blog
pyfixest
Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax
pyhdfe
High dimensional fixed effect absorption with Python 3
pymarginaleffects
rademacher
Generate Rademacher weights really quickly
ritest
Randomization Inference on R model objects
s3alfisc
sensemakr
Suite of sensitivity analysis tools for OLS
simulating_cluster_ses
How to estimate unbiased SEs in clustered data.
small_sample_simulations
staggered
statsmodels
Statsmodels: statistical modeling and econometrics in Python
summclust
R module for cluster specific information (as in the Stata summclust module)
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ❤️ Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.
