JASP Statistics

JASP is an open-source statistics program that is free, friendly, and flexible. Armed with an easy-to-use GUI, JASP allows both classical and Bayesian analyses.

[JASP Statistics @JASPStats]

We are proud of this book. Note the 30% discount for community members!
https://t.co/DZKMVxRyyF

[JASP Statistics @JASPStats]

A new blog post!
https://t.co/bUkyj3f0ab
(this is one of the last JASP announcements on X, since we are switching completely to Bluesky)

[JASP Statistics @JASPStats]

Just out: JASP 0.19.2!
https://t.co/lG09bNt9rE

[JASP Statistics @JASPStats]

Predictive analytics for quality control in JASP!
https://t.co/vSRKFtdDfI

[ᴅʀ ᴍɪʀᴄᴇᴀ ᴢʟᴏᴛᴇᴀɴᴜ 🍂 🍃 @mzloteanu]

#statstab #232 Bayesian Interval-Null Testing

Thoughts: @JASPStats has a module for Equivalence Tests that include Bayesian Overlapping and Non-Overlapping Hypothesis Testing.

#equivalencetests #bayesfactors #jasp #noeffect #bayes
https://t.co/fxJuHfe7oN

[František Bartoš @BartosFra]

We are in the final phases of preparing a new update of @JASPStats. I'm creating examples for the completely revamped Meta-Analysis module - check out how stunning forest and funnel plots can be created with only a couple of mouse clicks!

#metaanalysis

[JASP Statistics @JASPStats]

JASP is now on Bluesky!
https://t.co/DLC3QwGReI

[JASP Statistics @JASPStats]

@ThisDumebiii Sorry for the tardy response, JASP is less active on X than we were when it was still Twitter...but our team never sleeps, and they are eagerly awaiting any issues posted on our GitHub page (for details see https://t.co/mIX46cryV1)

[Bob Muenchen @BobMuenchen]

Updated reviews of the many wonderful GUIs for #Rstats! https://t.co/7E3E6Q7HMb @BlueSky_Stat @jamovistats @JASPStats @efprime #AnalyticFlow #statistics #datascience #machinelearning #BigData #Analytics #AI #biostatistics @MedicalResearch @medresearchnews @SixSigmaDaily

[JASP Statistics @JASPStats]

@tres_seis A post on our GitHub page :-/ which will bring you in touch with our programming team. For details see https://t.co/mIX46cs6Kz One or two other people have had a similar experience...I'll ask the team whether they have worked out the cause.

[JASP Statistics @JASPStats]

Discovering Statistics Using JASP!
@ProfAndyField
https://t.co/Dnsd2FUJy6

[ᴅʀ ᴍɪʀᴄᴇᴀ ᴢʟᴏᴛᴇᴀɴᴜ 🍂 🍃 @mzloteanu]

Completely missed the release of this "Robust Bayesian t-test" module by @MaxMa1er in @JASPStats. It uses Bayesian Model Averaging (8 models; equal/unequal var + normal/robust tests) to quantify relative evidence (BFs). Nice mini #multiverse analysis.

https://t.co/j5evGYkR13

[JASP Statistics @JASPStats]

@DanielaJPalombo We have not heard of this before, but it seems really important to sort out for those involved. Could you contact the programming team on our GitHub page, and maybe add a screenshot? For details see https://t.co/mIX46cryV1

[JASP Statistics @JASPStats]

Out now: JASP 0.19!
https://t.co/2tVemM8Q8Z

[JASP Statistics @JASPStats]

JASP 0.19 has extensive functionality for making raincloud plots! Will they replace the bar plot and line plot in statistical reporting?
https://t.co/eLf17cAFRg

[JASP Statistics @JASPStats]

Don's plans for JASP, courtesy of https://t.co/ObOII9LFm5
https://t.co/MUyBUmrFi6

[Sky Jiawen Liu @Skyliuww]

Pleasure to be invited by the PG Skill Workshop @PsychCardiffUni to share the amazing #JASP with my peers. Special thanks to @EJWagenmakers and Michael for their amazing @JASPStats workshops. Thrilled to see the positive feedback and engagement from everyone involved!

[JASP Statistics @JASPStats]

A final reminder as the workshop season draws near. Two workshops in Amsterdam (with Richard Morey and Michael Lee)
https://t.co/f8S9vi67Ud

[JASP Statistics @JASPStats]

@SachaEpskamp Together with Johnny van Doorn, we are working with @ProfAndyField to write "Discovering Statistics Using JASP". We are making quick progress, so expect an update soon!

[JASP Statistics @JASPStats]

Mark Goss-Sampson has updated his free JASP user guide!
https://t.co/4iY5gMNPwc