#linearmodels
Our py-econometrics org has a new package: `maketables` is now installable from PyPi! You can create regression tables for PyFixest, statsmodels, linearmodels, and save them as html, latex, or word.

github: github.com/py-econometr...
docs: py-econometrics.github.io/maketables/
November 20, 2025 at 7:49 PM
‼ Announcement: Online Unfold.jl workshop ‼

📅 09.05.2025
💶 Free!
👉🏼 www.s-ccs.de/workshop_unf...
❓ rERPs, mass univariate models & deconvolution!

#EEG #linearmodels #statistics @julialang.org #julia

Organized with Romy Frömer @thechbh.bsky.social
and the S-CCS lab @unistuttgart.bsky.social
April 15, 2025 at 1:37 PM
Look at what I found at thriftbooks...

Probably from a library , original 1971 edition (published two years before I was born!) and one of the very good (?best) and clear books written on the topic of #linearmodels

@stephensenn.bsky.social @andrewpgrieve.bsky.social @cubiclogic.bsky.social
January 25, 2026 at 6:46 PM
As everyone is querying LLMs for research these days, sometimes I check PyFixest's SEO game by asking "How can I estimate fixed effects regression problems in Python?". GTP: a) linearmodels b) statsmodels c) hand rolled d) call Julia / R from Python. Pf not (yet) recommended for arcane reasons.
December 21, 2025 at 10:19 AM
Linearmodels has some important additional stuff in it
October 13, 2023 at 9:06 PM
A while back I commented under a question on "fixed effects modeling in Python" that we'd build PyFixest, and that it was much faster than statsmodels and linearmodels. The ladder part was cut out from a stackoverflow moderator as "irrelevant to the question" ... (at least how I recall it)
June 13, 2025 at 4:21 PM
SAT Linear Model Word Problem:

A linear model estimates the population of a city from 1991 to 2015. The population was 57 thousand in 1991 and 224 thousand in 2011. What is x thousand in 2015?

#SAT #satmaths #SATprep #linearmodels #algebra #wordproblems #testprep #SAThacks #harvard
July 9, 2026 at 1:55 PM
It currently supports pf and sm. Please check it out and contribute by adding support for your favorite Python estimation classes! Some that we think would be of interest: linearmodels, lifelines, Bambi, rdrobust, DoubleML, meta learners. You can find the package here: lnkd.in/eYhAejYh
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November 13, 2025 at 6:37 PM
This study shows that in time series forecasting, a carefully designed **linear model can be all you need**.

🔗 Read the full paper: [arXiv:2502.03571](arxiv.org/pdf/2502.0...)

#TimeSeries #MachineLearning #Forecasting #AI #LinearModels #DataScience
February 8, 2025 at 10:06 PM