Category: Update

A tutorial on Latent Change Score modeling for developmental cognitive neuroscience

Check out this new preprint: A tutorial on Latent Change Score modeling for developmental cognitive neuroscience, using Ωnyx and lavaan: https://t.co/gsGnE3xB8e It also includes a Shiny app to simulate data: https://t.co/anKdF2QBc9 And a full code repository: https://t.co/uPOew08ZJj

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Fit indices for missing data (chi^2, RMSEA, CFI)

Great news! It took us long enough but we finally have implemented chi^2 and derived fit statistics for missing data. Ωnyx now separately estimates the log-likehood of the saturated model when data have missing values. So, we finally can offer

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Latent Factor Score Estimation

Today, we are proud to release another update to Ωnyx. The latest version allows you to obtain latent factor scores. You can find this new feature in the model’s context menu Estimation -> Obtain Latent / Missing Scores. Choosing this option

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Mint and Camouflage

We are happy to release another update of Ωnyx with bug fixes and a couple of new features (see section Downloads for the latest version). Primarily, we fixed a couple of GUI-related problems with copy&paste and drag&drop, particularly so with definition

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Maintenance Update

We are happy to announce a maintenance release of Ωnyx 1.0. We are grateful for your positive feedback, which allowed us removing a couple of bugs in the former version. Particularly, we must mention that there were problems reported concerning

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New Chapter on Ωnyx in “Health Science Statistics using R and R Commander”

We are happy to announce the publication of Robin Beaumont’s book “Health Science Statistics using R and R Commander” (Scion Publishing; ISBN 9781907904318, which has a whole chapter on Ωnyx. We feel honored and are excited about the daily growing Ωnyx community out there.

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New Video Tutorials: Multiple Group Factor Models and Transactional Models

We are happy to share with you two new video tutorials recorded by Prof. Timothy Curby (website; twitter). The videos show how multiple group factor analysis and transactional models can be done in Ωnyx. They are freely available on youtube:

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Out now: Structural Equation Modeling with Ωnyx

We are happy to announce the online publication of our manuscript soon to be published in Structural Equation Modeling: A Multidisciplinary Journal. We are allowed to share 50 online copies of it for free on a first come first serve

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Ωnyx 1.0

We are happy to announce the release of Ωnyx 1.0. We are grateful for your positive feedback throughout the development process.   Among the new features in this release are: – improved optimization engine – external runners allowing to run

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Ωnyx now comes with Chi-Square, TLI, and SRMR

We are happy to deliver a new Ωnyx, today, which includes a set of standard fit indices for Structural Equation Models: Chi-Square, RMSEA, CFI, TLI, SRMR, AIC(c) and BIC. The indices can be found in the context menu “Estimation -> Show Estimate

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