In the context of quantum physics, the term "duality" refers to transformations that link apparently distinct physical ...

APLR builds predictive, interpretable regression and classification models using Automatic Piecewise Linear Regression. It often rivals tree-based methods in predictive accuracy while offering ...

The heplots package provides functions for visualizing hypothesis tests in multivariate linear models (“MLM” = {MANOVA, multivariate multiple regression, MANCOVA, and repeated measures designs}). It ...

The analysis of multi-environment trials (MET) data in plant breeding and agricultural research is inherently challenging, with conventional ANOVA-based methods exhibiting limitations as the ...

Abstract: A simple and physically insightful model for predicting the switching transients of SiC MOSFETs and GaN HEMTs in power electronic half-bridges is proposed in this research. The proposed ...

(a) General location of the study site. (b ... creating simulation data from the testing set, training the model using the original training set, testing the model on the simulated testing and ...

This innovative approach involves constructing a linear regression model incorporating L1 norm and generalized L2 norm. The model aims to estimate the linear relationship between the location ...

models (LEMs) to learn a generalized representation adaptable to various tasks. However, such LEMs are scarce and neglecting the potential in reconstruction tasks. Meanwhile, how to efficiently ...

Prebuilt functions in VoxelStats enable the user to perform voxel-wise general and generalized linear models and mixed effect models with multiple volumetric covariates. Importantly, VoxelStats can ...