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 ...

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 ...

Here, we report the emergence of a linear scaling law in this complicated random system. We derived an accurate statistical high-order limit model and found that the model remains the same when the ...

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 ...