101010.pl

Pierre de VillemereuilIncidentally, our companion <a href="https://ecoevo.social/tags/rstats" class="mention hashtag" rel="nofollow noopener" target="_blank">#rstats</a> Reacnorm package is now live in CRAN, so it's as easy as `install.packages("Reacnorm")` and `vignette("TutoReacnorm")` to access our nice tutorial on analyse reaction norms using the <a href="https://ecoevo.social/tags/brms" class="mention hashtag" rel="nofollow noopener" target="_blank">#brms</a> and Reacnorm package.<a href="https://cran.r-project.org/package=Reacnorm" rel="nofollow noopener" translate="no" target="_blank">https://cran.r-project.org/package=Reacnorm</a>

Teixi<a href="https://dair-community.social/@timnitGebru" class="u-url mention" rel="nofollow noopener" target="_blank">@timnitGebru</a> » However while research funding dried up and the term <a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI</a> became less used, many green shoots where planted and continued more quietly under discipline specific names: cognitive systems, machine learning, intelligent systems, knowledge representation and reasoning. Offshoots of these then made their way into commercial systems, such as <a href="https://mastodon.social/tags/ExpertSystems" class="mention hashtag" rel="nofollow noopener" target="_blank">#ExpertSystems</a> in the <a href="https://mastodon.social/tags/BusinessRules" class="mention hashtag" rel="nofollow noopener" target="_blank">#BusinessRules</a> Management System <a href="https://mastodon.social/tags/BRMS" class="mention hashtag" rel="nofollow noopener" target="_blank">#BRMS</a> market. « <a href="https://blog.kie.org/2012/05/drools-5-4-artificial-intelligence-a-little-history.html" rel="nofollow noopener" translate="no" target="_blank">https://blog.kie.org/2012/05/drools-5-4-artificial-intelligence-a-little-history.html</a>

Physalia-courses🧐All our last courses in February are <a href="https://mas.to/tags/soldout" class="mention hashtag" rel="nofollow noopener" target="_blank">#soldout</a>. But there are still a few seats available for some of our courses in March!👉<a href="https://physalia-courses.org/courses-workshops/" rel="nofollow noopener" target="_blank">https://physalia-courses.org/courses-workshops/</a> <a href="https://mas.to/tags/Genomics" class="mention hashtag" rel="nofollow noopener" target="_blank">#Genomics</a> <a href="https://mas.to/tags/MetaAnalysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#MetaAnalysis</a> <a href="https://mas.to/tags/Rstats" class="mention hashtag" rel="nofollow noopener" target="_blank">#Rstats</a> <a href="https://mas.to/tags/brms" class="mention hashtag" rel="nofollow noopener" target="_blank">#brms</a> <a href="https://mas.to/tags/GAMs" class="mention hashtag" rel="nofollow noopener" target="_blank">#GAMs</a> <a href="https://mas.to/tags/Proteomics" class="mention hashtag" rel="nofollow noopener" target="_blank">#Proteomics</a> <a href="https://mas.to/tags/MassSpectrometry" class="mention hashtag" rel="nofollow noopener" target="_blank">#MassSpectrometry</a> <a href="https://mas.to/tags/NetworkAnalysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#NetworkAnalysis</a> <a href="https://genomic.social/@Amandatron89" class="u-url mention" rel="nofollow noopener" target="_blank">@Amandatron89</a> <a href="https://genomic.social/@nanopore" class="u-url mention" rel="nofollow noopener" target="_blank">@nanopore</a> <a href="https://fosstodon.org/@lgatto" class="u-url mention" rel="nofollow noopener" target="_blank">@lgatto</a> <a href="https://tech.lgbt/@wiernik" class="u-url mention" rel="nofollow noopener" target="_blank">@wiernik</a> <a href="https://mastodon.social/@gavinsimpson" class="u-url mention" rel="nofollow noopener" target="_blank">@gavinsimpson</a>

Stefan HerzogOK.<a href="https://fediscience.org/tags/bayesian" class="mention hashtag" rel="nofollow noopener" target="_blank">#bayesian</a> <a href="https://fediscience.org/tags/brms" class="mention hashtag" rel="nofollow noopener" target="_blank">#brms</a> <a href="https://fediscience.org/tags/rstats" class="mention hashtag" rel="nofollow noopener" target="_blank">#rstats</a> <a href="https://fediscience.org/tags/chatgpt" class="mention hashtag" rel="nofollow noopener" target="_blank">#chatgpt</a> <a href="https://fediscience.org/tags/berlin" class="mention hashtag" rel="nofollow noopener" target="_blank">#berlin</a> <a href="https://fediscience.org/tags/rain" class="mention hashtag" rel="nofollow noopener" target="_blank">#rain</a>

Matti Vuorre 🖖<a href="https://mastodon.online/@scottclaessens" class="u-url mention" rel="nofollow noopener" target="_blank">@scottclaessens</a> has some really great blog posts about <a href="https://fosstodon.org/tags/bayesian" class="mention hashtag" rel="nofollow noopener" target="_blank">#bayesian</a> modelling with <a href="https://fosstodon.org/tags/brms" class="mention hashtag" rel="nofollow noopener" target="_blank">#brms</a>. Like this one about spatial dependency in between-country correlations: <a href="https://scottclaessens.github.io/blog/2022/crossnational/" rel="nofollow noopener" target="_blank">https://scottclaessens.github.io/blog/2022/crossnational/</a>

Andrew Heiss :rstats:Loving tidybayes + ggdist more and more and more. Check out how easy it is to plot all your priors (even the tricky LKJ distribution!) at once, automatically, with ggdist::parse_dist()! (code here: <a href="https://gist.github.com/andrewheiss/a4e0c0ab2d735625ac17ec8a081f0f32" rel="nofollow noopener" target="_blank">https://gist.github.com/andrewheiss/a4e0c0ab2d735625ac17ec8a081f0f32</a>) <a href="https://fediscience.org/tags/rstats" class="mention hashtag" rel="nofollow noopener" target="_blank">#rstats</a> <a href="https://fediscience.org/tags/bayesian" class="mention hashtag" rel="nofollow noopener" target="_blank">#bayesian</a> <a href="https://fediscience.org/tags/brms" class="mention hashtag" rel="nofollow noopener" target="_blank">#brms</a>

Brenton Wiernik 🏳️‍🌈Can folks help me think through smtg: I’ve got a 5-point Likert response with 1 binary predictor. If I dichotomize it into Agree/Str Agree vs other 3 groups and model as binomial, that is equivalent to a constrained multinomial model. What are those constraints? <a href="https://tech.lgbt/tags/Stats" class="mention hashtag" rel="nofollow noopener" target="_blank">#Stats</a> <a href="https://tech.lgbt/tags/Statsodon" class="mention hashtag" rel="nofollow noopener" target="_blank">#Statsodon</a> <a href="https://tech.lgbt/tags/brms" class="mention hashtag" rel="nofollow noopener" target="_blank">#brms</a>

Ewan CarrTime for an <a href="https://fediscience.org/tags/introduction" class="mention hashtag" rel="nofollow noopener" target="_blank">#introduction</a>:I’m Ewan 👋 a statistician and researcher in Biostatistics & Health Informatics, King’s College London. I do things with numbers and mental health.Right now, that includes: (1) mental-physical links in routine data; (2) wearable sensors to predict depression; (3) clinical trials of digital interventions.I’m excited about <a href="https://fediscience.org/tags/OpenScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#OpenScience</a>, <a href="https://fediscience.org/tags/Bayesian" class="mention hashtag" rel="nofollow noopener" target="_blank">#Bayesian</a> (<a href="https://fediscience.org/tags/brms" class="mention hashtag" rel="nofollow noopener" target="_blank">#brms</a>), <a href="https://fediscience.org/tags/MixedModels" class="mention hashtag" rel="nofollow noopener" target="_blank">#MixedModels</a>, <a href="https://fediscience.org/tags/rstats" class="mention hashtag" rel="nofollow noopener" target="_blank">#rstats</a>, <a href="https://fediscience.org/tags/tidyverse" class="mention hashtag" rel="nofollow noopener" target="_blank">#tidyverse</a>, <a href="https://fediscience.org/tags/Quarto" class="mention hashtag" rel="nofollow noopener" target="_blank">#Quarto</a>, <a href="https://fediscience.org/tags/DAGs" class="mention hashtag" rel="nofollow noopener" target="_blank">#DAGs</a>.Elsewhere: gravel cycling, ⚽️, ☕️, breaking things in <a href="https://fediscience.org/tags/Linux" class="mention hashtag" rel="nofollow noopener" target="_blank">#Linux</a>.

Andrew Heiss :rstats:More *Bayes Rules!* notes + <a href="https://fediscience.org/tags/brms" class="mention hashtag" rel="nofollow noopener" target="_blank">#brms</a> <a href="https://fediscience.org/tags/rstats" class="mention hashtag" rel="nofollow noopener" target="_blank">#rstats</a> translation: logistic and negative binomial models, which are super tricky to work with!I added extra stuff on marginal effects, including the (new!) ability to integrate out random effects with {marginaleffects}<a href="https://bayesf22-notebook.classes.andrewheiss.com/bayes-rules/18-chapter.html" rel="nofollow noopener" target="_blank">https://bayesf22-notebook.classes.andrewheiss.com/bayes-rules/18-chapter.html</a><a href="https://fediscience.org/tags/bayesian" class="mention hashtag" rel="nofollow noopener" target="_blank">#bayesian</a> <a href="https://fediscience.org/tags/statTootstics" class="mention hashtag" rel="nofollow noopener" target="_blank">#statTootstics</a> <a href="https://fediscience.org/tags/statsodon" class="mention hashtag" rel="nofollow noopener" target="_blank">#statsodon</a>

Andrew Heiss :rstats:My notes + <a href="https://fediscience.org/tags/brms" class="mention hashtag" rel="nofollow noopener" target="_blank">#brms</a> <a href="https://fediscience.org/tags/rstats" class="mention hashtag" rel="nofollow noopener" target="_blank">#rstats</a> translation of *Bayes Rules!* continues with the densest & most important chapter of the whole book—multilevel models with varying intercepts *and* slopes. The book covers every detail of these models, including the mystical ρ term! <a href="https://fediscience.org/tags/stan" class="mention hashtag" rel="nofollow noopener" target="_blank">#stan</a> <a href="https://fediscience.org/tags/bayesian" class="mention hashtag" rel="nofollow noopener" target="_blank">#bayesian</a> <a href="https://fediscience.org/tags/statsodon" class="mention hashtag" rel="nofollow noopener" target="_blank">#statsodon</a> <a href="https://fediscience.org/tags/statTootstics" class="mention hashtag" rel="nofollow noopener" target="_blank">#statTootstics</a> <a href="https://bayesf22-notebook.classes.andrewheiss.com/bayes-rules/17-chapter.html" rel="nofollow noopener" target="_blank">https://bayesf22-notebook.classes.andrewheiss.com/bayes-rules/17-chapter.html</a>

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