2/ Just run grateful::cite_packages() and you'll get a report with formatted citations and references for all the #rstats packages used in your analysis, ready to paste into your manuscript or report

I am very excited to share this preprint of ours, which was overdue for so long ⬇️ Glucose intake prior to a massage did not affect PNS reactivity; however, it activated the SNS, and prevented SNS withdrawal to the massage (that was observed in a water control group). 🧃💆

Can we use macronutrients to understand altered food reward in depression? Our new preprint shows that patients with MDD report lower wanting & liking for foods rich in fat or protein (vs. carbs). #neuroscience@corcerebrum.bsky.social@neuromadlab.bsky.socialwww.medrxiv.org/content/10.1...

In search of markers of tVNS, we looked at pupil dilation 👁️ doi.org/10.1101/2024...neuromadlab.shinyapps.io/tVNSPupilmeta/@cecivez.bsky.social 🧠

[Admin] Wie unser Körper auf Stress- und Entspannungszustände reagiert! Begrüßt unsere neue Kuratorin @mariame.bsky.socialrealscientistsde.blogspot.com/2024/09/wie-...

Wie unser Körper auf Stress- und Entspannungszustände reagiert! Maria Meier ist jetzt bei Real Scientists DE!

Foto erstellt von Ulrike Sommer Diese Woche freuen wir uns auf unsere Kuratorin Maria Meier ( @mariame.bsky.social )! Maria ist derzeit...

{tinytable} 0.4.0 for #RStatsvincentarelbundock.github.io/tinytable/ 0.4.0 is a big release. Please install and try it out!

Constrain layer to panels with at_panel() from {ggh4x} #rstats#datavizteunbrand.github.io/ggh4x/refere... I have always wanted a function like this. {gghx4) was unknown to me before, it has a suite of useful functions for tweaking {ggplot2} output.

A multimodal fMRI dataset unifying naturalistic processes with a rich array of experimental tasks www.biorxiv.org/content/10.1101/2024.06.21.599974v1

A multimodal fMRI dataset unifying naturalistic processes with a rich array of experimental tasks https://www.biorxiv.org/content/10.1101/2024.06.21.599974v1

Cognitive neuroscience has advanced significantly due to the availability of openly shared datasets.

Awesome new Bayesian cognitive modeling package by Ven Popov and Gidon Frischkorn just dropped with an amazing Stan Discourse thread: discourse.mc-stan.org/t/bmm-r-pack...#stats#cognitivemodeling#bayes#cognition#modeling

Bmm: R package for easy and flexible Bayesian Measurement Modeling (v1.0.0)

I’m really happy to share the first official CRAN release of the Bayesian Measurement Modeling (bmm) R package, developed together with @g.frischkorn 🥳 🥳 🥳 tldr; 🥇 Hierarhical Bayesian estimation...

The {tidyheatmaps} package looks like a pretty good alternative to geom_tile in ggplot. #rstats#ggplot2