@devSJR Ah yes! It's because we have implemented plot methods for most of our output objects through our `see` package :)

https://easystats.github.io/see/

Enjoy!

Just published in JOSS: 'modelbased: An R package to make the most out of your statistical models through marginal means, marginal effects, and model predictions' https://doi.org/10.21105/joss.07969

@devSJR Thank you! And, what do you mean? What plot type did you expect? There are three lines because you used the argument by = "Species". If you remove it you get one line only

We're happy to have an accompanying publication for another #rstats @rstats package published!

modelbased: An R package to make the most out of your statistical models through marginal means, marginal effects, and model predictions

With Dom Makowski @mattansb @wiernik @Indrajee and @strengejacke https://doi.org/10.21105/joss.07969

We will be leveraging shared social identities, artificial intelligence, and carefully selected narratives to create lasting reductions in polarization. I’m excited to put my skills to use to contribute to something larger like this—which the world needs now more than ever.

Please consider signing up for our newsletter (https://jayvanbavellab.substack.com/) and visiting our website: https://www.centerconflictcooperation.com/

We will be leveraging shared social identities, artificial intelligence, and carefully selected narratives to create lasting reductions in polarization. I’m excited to put my skills to use to contribute to something larger like this—which the world needs now more than ever.

Please consider signing up for our newsletter (https://jayvanbavellab.substack.com/) and visiting our website: https://www.centerconflictcooperation.com/

I am thrilled to be starting my postdoc with @jayvanbavel and my wonderful colleagues at the newly launched Center for Conflict and Cooperation at NYU. Together, we will be working at reducing #polarization and its far-reaching global consequences.

I am thrilled to be starting my postdoc with @jayvanbavel and my wonderful colleagues at the newly launched Center for Conflict and Cooperation at NYU. Together, we will be working at reducing #polarization and its far-reaching global consequences.

I'm excited to launch the CENTER FOR CONFLICT & COOPERATION @ NYU. It will act as a global hub that coordinates collaborative research around the world on topics related to social identity, intergroup relations, polarization & social media.
Subscribe to this newsletter to learn about our research + receive announcements about future projects—including invitations to collaborate on global studies: https://jayvanbavellab.substack.com/p/introducing-the-center-for-conflict?r=3lmz1&utm_medium=email

Our Missing Majority in Behavioral Science Dashboard with @psforscher now displays how different journals from psychology and economics fare over time in terms of first-author representativeness across continents. Check out the journals from your field to see how they're performing!

https://remi-theriault.com/dashboards/missing_majority

The #easystats team rarely meets in person but the best ideas always come out of it to expand and develop our collection of #rstats @rstats packages!

Here you can see the switch from RStudio to Positron by @rempsyc as guided by @strengejacke 😎

#rstats {flint} 0.1.2 is available via R-universe! This release comes with several bug fixes and new linters.

{flint} is a package to detect and automatically fix lints in R code. It is also very fast and compatible with many {lintr} rules.

More info: https://flint.etiennebacher.com/

Super excited to finally reveal the Missing Majority Dashboard!

For too long, behavioral science has drawn its insights from a narrow pool, leaving out voices from the Global South. This project, developed with my colleague @psforscher shines light on this critical gap and helps us track representation in key journals. The goal? To ensure a more inclusive, globally relevant science. View the dashboard:

https://remi-theriault.com/dashboards/missing_majority

#BehavioralScience #GlobalSouth #Inclusivity #OpenScience #Research

Beside the {report} package (yesterdays note) there are more tools in the easystats collection. https://github.com/easystats/easystats #rstats

@rstats There are also eg, new arguments for write_lavaan (threshold, for the “|” operator), nice_tidySEM (reduce_items and hide_cov), and lavaan_reg, lavaan_ind, and lavaan_cov (estimate for (un)standardized estimates). Plus, lavaan_ind() renames to lavaan_defined()

@rstats New functions:
- nice_modindices: outputs modification indices along item labels and a similarity score. Useful to assess item redundancy for modification indices.
- lavaan_cor: extracts correlations
- lavaan_extract()—extracts relevant information from a specific operator

New version (0.2.1) of the {lavaanExtra} #rstats @rstats package has now reached CRAN!

This new version has several major changes, including new functions, improvements, and bug fixes! 🧵

https://lavaanExtra.remi-theriault.com

{rempsyc} #rstats package v0.1.8 has reached CRAN! This version contains bug fixes, various improvements AND new cool functions such as plot_means_over_time() for longitudinal designs and grouped_bar_chart() for categorical data visualization by group! ✨

https://rempsyc.remi-theriault.com/

@rstats

@RPanczak @rstats you can also use this link for the formatted PDF version: https://rdcu.be/dCsjS

@RPanczak @rstats yes! The DOI of the preprint is in the abstract, and also if you scroll down a little, you can see direct links to the preprint and vignette which are essentially the paper