Presentation-Ready Data Summary and Analytic Result Tables
Creates presentation-ready tables summarizing data sets, regression models, and more. The code to create the tables is concise and highly customizable. Data frames can be summarized with any function,...
The {gtsummary} #RStats π¦"provides an elegant and flexible way to create publication-ready analytical and summary tables. . . [It] summarizes data sets, regression models, and more, using sensible defaults with highly customizable capabilities."
By @ddsjoberg.bsky.social & others
24.02.2025 14:01 β π 7 π 5 π¬ 0 π 0
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05.02.2025 02:05 β π 0 π 0 π¬ 0 π 0
I was very interested in blog post about how access databricks unitycatalog from duckdb, but it seems to be down. Is there any other way to access it?
25.01.2025 00:41 β π 0 π 0 π¬ 1 π 0
Full Luxury Bayesian Structural Equation Modeling with brms
OK, here is a very rough draft of a tutorial for #Bayesian #SEM using #brms for #rstats. It needs work, polish, has a lot of questions in it, and I need to add a references section. But, I think a lot of folk will find this useful, so.... jebyrnes.github.io/bayesian_sem... (use issues for comments!)
21.12.2024 19:49 β π 226 π 60 π¬ 9 π 1
Public trust in science is more important than ever. But what happens when scientists openly share their political opinions on social media?
Our updated paper with @eleala.bsky.social & @walraslaw.bsky.social shows how academicsβ political expression affects their credibility
06.12.2024 09:43 β π 62 π 31 π¬ 9 π 9
Data science, AI/ML, analytics, visualisation. Naarm/Melbourne @thoughtworks, #dataBS, #Python, #NLP, #DuckDB, & assorted whimsical miscellania
Applied Scientist | Math PhD | Open Source
PyMC Labs
https://juanitorduz.github.io
Full Professor of Computational Statistics at TU Dortmund University
Scientist | Statistician | Bayesian | Author of brms | Member of the Stan and BayesFlow development teams
Website: https://paulbuerkner.com
Opinions are my own
Data Science, Causal Inference, Economics, Statistics and Machine Learning
Two joys in life:
[1] Learning something interesting about the world
[2] Telling people about it
Data Science @OpenAI
PhD in mathematics. Author of "Causal Inference for Data Science"
- Biostatistician by trade
- PhD candidate in Clinical Epidemiology at Memorial University
- Love statistics & R!
- Area of expertise: causal inference using real-world data
Blog: www.causallycurious.com
π§‘ Data Engineer at heart
π₯ DevRel @motherduck.com (Cloud-based @duckdb.org)
π₯ YouTube : https://www.youtube.com/@mehdio
βοΈ Blog http://mehdio.com/blog
Professor of Statistics, Monash University, Australia. FAA, FASSA. Interested in #forecasting, #rstats, #statistics. he/him http://robjhyndman.com
Professor of Statistics and Data Sciences UT Austin | Prev JHUBiostat | R Programming for Data Science | Simply Stats Blog | Not So Standard Deviations | The Effort Report
Biostatistician in Science & Tech | Causal Inference Expert | Consultant | Lecturer
Data science (AKA statistics). Likes conditioning on the data (AKA Bayes). Blog at https://www.sumsar.net. Works at http://Normative.io.
Machine learning in Python β’ Open Source
https://scikit-learn.org
Author of Interpretable Machine Learning and other books
Newsletter: https://mindfulmodeler.substack.com/
Website: https://christophmolnar.com/
Senior Manager Data Science and Engineering at ο£Ώ | Docker Captain π³| Time-series analysis & forecasting
My newsletters:
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AIOps: https://theaiops.substack.com
Forecasting: https://theforecaster.substack.com
"The Causal Guy" http://causalpython.io
Author || Advisor || Educator
Host at http://CausalBanditsPodcast.com
Causal ML Tutor @ Uni of Oxford
CausalSky: https://bsky.app/profile/did:plc:imz3rf35poonl7yxt7bogui4/feed/aaamrclcu3tfa
Anthropologist - Bayesian modeling - science reform - cat and cooking content too - Director @ MPI for evolutionary anthropology https://www.eva.mpg.de/ecology/staff/richard-mcelreath/
official Bluesky account (check usernameπ)
Bugs, feature requests, feedback: support@bsky.app