Daniel 🕹️
@strengejacke.de
He/she/it - 's' muss mit.
We're lower than the world!
R easystats project:
https://easystats.github.io/easystats/
We're lower than the world!
R easystats project:
https://easystats.github.io/easystats/
I think I installed it in the past when I was creating slides with rmarkdown, which were in HTML, so I could quickly preview. But I just realized I haven't installed that extension on my Laptop (instead, I have an excel viewer extension installed 👀)
October 17, 2025 at 12:30 PM
I think I installed it in the past when I was creating slides with rmarkdown, which were in HTML, so I could quickly preview. But I just realized I haven't installed that extension on my Laptop (instead, I have an excel viewer extension installed 👀)
I also like the built-in colorization from Positron (and don't like the one in RStudio, where the whole background is colored) - but the extension has a nice "underline" colorization, which looks cool!
October 17, 2025 at 12:26 PM
I also like the built-in colorization from Positron (and don't like the one in RStudio, where the whole background is colored) - but the extension has a nice "underline" colorization, which looks cool!
Also haven't heard of machete order before 👀
Although for younger kids, JarJar Binks is a good entry into science fiction movies, I guess.
Although for younger kids, JarJar Binks is a good entry into science fiction movies, I guess.
October 8, 2025 at 11:46 AM
Also haven't heard of machete order before 👀
Although for younger kids, JarJar Binks is a good entry into science fiction movies, I guess.
Although for younger kids, JarJar Binks is a good entry into science fiction movies, I guess.
I think I showed my kids some "making of" scenes so they realised no cat was hurt during the movie shooting and that all actors are still alive (I mean they survived the movie in real life). 😜
October 7, 2025 at 5:28 AM
I think I showed my kids some "making of" scenes so they realised no cat was hurt during the movie shooting and that all actors are still alive (I mean they survived the movie in real life). 😜
Then maybe start around 8-10 years of age 😉 most important is not to leave out star wars.
October 7, 2025 at 5:26 AM
Then maybe start around 8-10 years of age 😉 most important is not to leave out star wars.
Even without character limits.
October 6, 2025 at 7:34 PM
Even without character limits.
About 6-8 years is a good age to start with star wars movies.
October 6, 2025 at 7:33 PM
About 6-8 years is a good age to start with star wars movies.
"estimate generating" might be too vague, because models also generate estimates, and then you could stop there. :-)
?
?
September 23, 2025 at 8:31 AM
"estimate generating" might be too vague, because models also generate estimates, and then you could stop there. :-)
?
?
(and by post-estimation toolbox/framework I mean all the stuff you can do with #rstats packages like marginaleffects, modelbased or emmeans)
September 23, 2025 at 7:29 AM
(and by post-estimation toolbox/framework I mean all the stuff you can do with #rstats packages like marginaleffects, modelbased or emmeans)
(also tagging @vincentab.bsky.social )
September 23, 2025 at 7:27 AM
(also tagging @vincentab.bsky.social )
... and this framework roughly requires/includes:
- what is your estimand?
- fit an appropriate statistical model
- answer the question(s) with a "post-estimation toolbox" (using models as "prediction machines", to use the metaphor of the authors)
- what is your estimand?
- fit an appropriate statistical model
- answer the question(s) with a "post-estimation toolbox" (using models as "prediction machines", to use the metaphor of the authors)
September 23, 2025 at 7:24 AM
... and this framework roughly requires/includes:
- what is your estimand?
- fit an appropriate statistical model
- answer the question(s) with a "post-estimation toolbox" (using models as "prediction machines", to use the metaphor of the authors)
- what is your estimand?
- fit an appropriate statistical model
- answer the question(s) with a "post-estimation toolbox" (using models as "prediction machines", to use the metaphor of the authors)
(i.e. not particular mention that we're not talking about *Bayesian* priors, because that should be clear when writing the analysis section, where glmmTMB is mentioned, and "Bayesian" is not)
Frankly, I haven't thought about how to "name" glmmTMB priors to avoid misunderstandings? Good question!
Frankly, I haven't thought about how to "name" glmmTMB priors to avoid misunderstandings? Good question!
September 16, 2025 at 7:26 AM
(i.e. not particular mention that we're not talking about *Bayesian* priors, because that should be clear when writing the analysis section, where glmmTMB is mentioned, and "Bayesian" is not)
Frankly, I haven't thought about how to "name" glmmTMB priors to avoid misunderstandings? Good question!
Frankly, I haven't thought about how to "name" glmmTMB priors to avoid misunderstandings? Good question!
I would probably write that priors were used for regularisation to address convergence and singular fit issues (and refer to the R code file). @bbolker.bsky.social any thoughts?
September 16, 2025 at 5:59 AM
I would probably write that priors were used for regularisation to address convergence and singular fit issues (and refer to the R code file). @bbolker.bsky.social any thoughts?