#modelfit
#statstab #625 {lavinteract}: Post-Estimation Utilities for 'lavaan' Fitted Models

Thoughts: "Companion toolbox for structural equation models fitted with 'lavaan'"

#lavaan #sem #modelselection #modelfit #r2 #FDR #VIF #latent #rstats #r

cran.r-project.org/web/packages...
Help for package lavinteract
cran.r-project.org
September 25, 2026 at 5:41 PM
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April 1, 2025 at 8:21 PM
Thank you Cyrus!

The tidyverse-wide coordination on tidy(modelfit) and glance(modelfit) pays so many dividends- thank you library(broom)!

[also @vincentab.bsky.social writes the most beautiful r packages, am in frequent awe of his work especially modelsummary and marginaleffects]
The seamless interface between estimatr and modelsummary in R is such an efficiency boost, not to mention the brilliant performance of each respective package.

@vincentab.bsky.social @aecoppock.bsky.social @graemeblair.bsky.social @macartan.bsky.social bravo and many thanks!
August 29, 2024 at 5:58 PM
Modelfit, back to the 80s

#sociology
October 8, 2025 at 5:34 AM
#statstab #496 Posterior predictive checks {performance}

Thoughts: Idk why more frequentist don't use ppc for their models. I can diagnose so many issues visually this way.

#error #posterior #ppc #modelfit #diagnostics #model #r #rstats #easystats

easystats.github.io/performance/...
Posterior predictive checks — check_predictions
Posterior predictive checks mean "simulating replicated data under the fitted model and then comparing these to the observed data" (Gelman and Hill, 2007, p. 158). Posterior predictive checks can be u...
easystats.github.io
March 2, 2026 at 7:27 PM
#statstab #464 Plotting p-check interaction {brms}

Thoughts: Annoyingly #brms doesn't natively allow plotting for interactions (that I know of). The forum has a solution.

#ppc #posterior #bayesian #modelfit #diagnostic #rstats #r #stan

discourse.mc-stan.org/t/plotting-p...
Plotting pp_check interactions
I am trying to model ordinal data with an interaction of two predictors. However, I have issues with plotting interactions and individual data with the BRMS functions. My model is of the type ratin...
discourse.mc-stan.org
November 20, 2025 at 8:15 PM
I will make a more formal post soon probably maybe.
BUT DEC 4TH IS MY 2YEAR STREAM-AVERSARY

Streaming had ups and downs, numbers fluctuate.
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DEC 4
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November 25, 2024 at 7:17 PM
#statstab #264 When estimating a treatment effect with a cluster design, you need to include varying slopes, even if the fit gives warning messages

Thoughts: Warnings are scary ⚠️ Bad model are scarier 👹

#lmer #modelfit #mixedeffects #r #randomslopes

statmodeling.stat.columbia.edu/2025/01/23/s...
When estimating a treatment effect with a cluster design, you need to include varying slopes, even if the fit gives warning messages. | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
January 23, 2025 at 4:11 PM
Wolfram Language and Mathematica Version 15, AI Assistant, Symbolic Music, More
Discussion | hackernews | Author: alok-g
Wolfram Language and Mathematica Version 15, AI Assistant, Symbolic Music, More
AI-related upgrades like the built-in AI Assistant, extended computation-augmented generation and the Wolfram Agent Tools framework. Advances in TimeSeries & Tabular. New categorical data, ModelFit automated model selection, symbolic music. Efficient handling of gigabyte-sized notebooks. Gains in...
writings.stephenwolfram.com
June 16, 2026 at 11:47 PM
Wolfram Language Version 15 launches with deep AI integration, including a built-in AI Assistant, enhanced notebook infrastructure, and new symbolic tools for categorical data, music, and orbits. It also adds advanced matrix decompositions and GPU-accelerated computing.
Wolfram Language and Mathematica Version 15, AI Assistant, Symbolic Music, More (112)
AI-related upgrades like the built-in AI Assistant, extended computation-augmented generation and the Wolfram Agent Tools framework. Advances in TimeSeries & Tabular. New categorical data, ModelFit automated model selection, symbolic music. Efficient handling of gigabyte-sized notebooks. Gains in the already-robust visualization functionality. New functions for algebra, matrices, PDE modeling.
news.ycombinator.com
June 17, 2026 at 4:08 AM
core shift, we compute the spectral index maps for all the frequency pairs and find different distributions for the core region and the jet with an unusual optically thick/flat feature at 1-2 pc from the core. Using modelfit, we find a total of 56 [4/7 of https://arxiv.org/abs/2503.18621v1]
March 25, 2025 at 6:08 AM
Beyond model.fit(): Demystifying Gradient Descent from Scratch
via Medium Python

https://flarestart.com/article/beyond-modelfit-demystifying-gradient-descent-from-scratch-20260224
#DevNews #ProgrammingLanguages
February 24, 2026 at 4:05 PM