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Starts 10:09

Love how the audience rhubarb grows.

Great explanation. Thanks for sharing this

What is the likelihood for BART. He talked about the priors, but not the likelihood.

To comment on a small aside on R's annoying behavior relating the final comma: the rlang package introduces the list2 function that does allow for trailing comma's in lists. I often find myself replacing list with list2 just to avoid runtime errors. Of course, it would've been nice if this was supported throughout the language natively.

Where can one find the Puppeteer chrome extension at 40:52? I only see the Puppeteer IDE extension.

❤

Need more honest people like her

Thanks for posting the recorded talk, I finally got around to listening to Jeff, it was really informative. 🙏

Great Talk.

Please I would like to know if Principal Component Analysis (PCA) was incoporated into the CMP regression model and also the rate parameter being null,is there an explanation for that . I am currently using this model for my project and i am finding it difficult to estimate the lambda. I asked of the PCA because my outputs are that variable despite me not using anything of like that. I am very happy to come across this video of yours and would be super excited to receive a feedback from you . Thank you very much prof. (Livingstone is my name please)

Thank you very much for the explanations professor

Wish I saw this 5 years ago. Dang. 👌

Very good talk, thanks! Are the links from the presentation (or the presentation itself) available?

Thank you for an catching me up on the past 15 years of R. I look forward to begin a part of the community for the next 15+ years

Why does she keep sniggering like its funny. Dont disagree with her but it was hard to listen to, remembering the calls of those stuck inside begging for help. She needs to sound more serious not like she's selling it.

I have got to make it to a Lander conference before Dr. G decides to retire ❤ huge huge fan Thank you for posting

thank you!

Can I get the mathematics behind this model?

Excellent

Awesome stuff!

Embedded in time is a remarkable generalization range from a survey in a morning or afternoon, a coin flip or a sporting event (the last example). I would say the sporting event has a "historical context" but that is more specific (narrower) than time.

d umb, d isgusting, w hore

ARM is awesome

I Sarah i apologize i was experiencing extreme trauma rape kidnapped prayed over to become satanic ritual abuse Freemasonry Gaddafi jeezelbel Ahab pharoah Satan surveillance oberlin ordered me to go to the 1990ksm terrorist meeting i apologize for neing rude to you

Should I put the xaringan function in the YAML!?

Outstanding presentation!! Just too bad that the slides were not matching the talk

Awesome talk! Thanks for sharing.

Promo*SM

Excellent presentation

pretty smart and glowing The charts 😊

Did she go to indiana state think might meet her in 90s

My new website name is SlideCraft Solutions

psych student reading a cognitiive paper, you just 6.41 saved my soul from breaking <3

Studied Stats with The Gelman 14 years ago, and still miss it to this day, so I came here to relive the feeling. Legend.

Everyone needs to learn about what Sarah is doing and how she’s being throttled and censored! Share anything you find with her. Try finding Sarah on the Shawn Ryan Show, good luck.

💖

That is Dr Daniel to you😮

Saw Sarah on The Shawn Ryan show and was enamored. This is woman is highly intelligent and knows her stuff. She’s also not afraid to say a lot of things that everyone else is. If she sees something wrong, she speaks up and doesn’t give a damn who doesn’t like it. People like her are a part of the very few that still give me faith in our government.

Thanks David. Could you please also make a tutorial of Copilot for Rstudio since copilot is available in Rstudio.

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Some concrete examples might have made it far more interesting….

09:00 starts here

Great presentation! What about mapview?

Or did the damn randomisation correctly 😅

belgian beer and andrew gelman on the shelve :)

I'd like to plot data from a csv file, but allow the user to select which series to show. The plot would autoscale accordingly. Unfortunately, I haven't seen any off-the-shelf solutions for this.. perhaps csv-plot and plotjuggler being the closest. So looking to learn how to program this (unsucessful with chat-gpt).. so was wondering what might be the easiest for a beginner? Javascript seems to have (by far) the most charting libraries (ggplot, Observable, D3, plotly.js etc), but python has gnuplot-py, matplotlib. In the end, I need to chart *AND* have a gui that allows the data to be selectively shown or not!

Very cool!

Poor dude looking at nothing not able to talk for 10 minutes hurts man

Coding