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brandmaier
semtree:Recursive Partitioning for Structural Equation Models
SEM Trees and SEM Forests -- an extension of model-based decision trees and forests to Structural Equation Models (SEM). SEM trees hierarchically split empirical data into homogeneous groups each sharing similar data patterns with respect to a SEM by recursively selecting optimal predictors of these differences. SEM forests are an extension of SEM trees. They are ensembles of SEM trees each built on a random sample of the original data. By aggregating over a forest, we obtain measures of variable importance that are more robust than measures from single trees. A description of the method was published by Brandmaier, von Oertzen, McArdle, & Lindenberger (2013) <doi:10.1037/a0030001> and Arnold, Voelkle, & Brandmaier (2020) <doi:10.3389/fpsyg.2020.564403>.
Maintained by Andreas M. Brandmaier. Last updated 3 months ago.
bigdatadecision-treeforestmultivariaterandomforestrecursive-partitioningsemstatistical-modelingstructural-equation-modelingstructural-equation-models
15 stars 8.56 score 68 scriptsrobinhankin
onion:Octonions and Quaternions
Quaternions and Octonions are four- and eight- dimensional extensions of the complex numbers. They are normed division algebras over the real numbers and find applications in spatial rotations (quaternions), and string theory and relativity (octonions). The quaternions are noncommutative and the octonions nonassociative. See the package vignette for more details.
Maintained by Robin K. S. Hankin. Last updated 2 months ago.
6 stars 7.27 score 43 scripts 3 dependentsrje42
contingency:Discrete Multivariate Probability Distributions
Provides an object class for dealing with many multivariate probability distributions at once, useful for simulation.
Maintained by Robin Evans. Last updated 7 months ago.
4.00 score 5 scripts