In the current issue of Structural Equation Modeling, you can find our article on graphical structural equation modeling with Ωnyx. Remember, Ωnyx is free to use. Download it here http://onyx.brandmaier.de. Oertzen, T. v., Brandmaier, A. M., & Tsang, S. (2015). Structural equation modeling with Ωnyx. Structural Equation Modeling, 22, 148-161. doi:10.1080/10705511.2014.935842 Full text
Permutation Distribution Clustering is a complexity-based approach to time series clustering. The method allows the retrieval of similarity structures in time series based on differences in their permutation distribution, respectively, their relative permutation entropy. Interesting properties of the approach include its invariance to mean shifts and invariance to rescaling. The algorithm is efficient because the ...
Stephanie Redmond has annotated our Science paper “Emergence of Individuality in Genetically Identical Mice” for the Science in the classroom project. The site is an awesome resource for both high school level and university level students with distinct versions of the original research articles for each group. Also, there are exercises, discussion points, and virtual ...
The brain-derived neurotrophic factor (BDNF) promotes activity-dependent synaptic plasticity, and contributes to learning and memory. We investigated whether a common Val66Met missense polymorphism (rs6265) of the BDNF gene is associated with individual differences in cognitive decline (marked by perceptual speed) in old age.
It is with great pleasure that I can announce the release of the free Structural Equation Modeling (SEM) software Ωnyx. Onyx provides a graphical modeling interface to set up path diagrams and fit SEMs intuitively and fast. It is designed to lower access barriers for beginners of SEM and to ease the transition to more complex ...
An interactive game to illustrate the utility of roaming entropy as a measure of explorative behavior of mice. http://brandmaier.de/roamingentropy/
R package pdc provides a shape tracer, which turns planar shapes into “time” series, thus enabling the use of time series clustering approaches to the problem of clustering shapes. The Figure above shows a bitmap representation of a rectangle (left), a time series obtained by angular tracing its shape (middle), and a reconstructed radial plot ...