This package allows the fitting of multivariate evolutionary models (Ornstein-Uhlenbeck, Brownian motion, Early burst, Shift models) on species trees and time series. It also provides functions to ...

The Variational Multivariate Information Bottleneck Framework To address that question, the team created a general mathematical structure for building problem specific loss functions. Their method ...

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

Sex difference (SD) is widespread in humans, though they share the same genome. Single traits are generally studied to explore such differences in humans. But traits do not occur in isolation and ...

Abstract: In this paper, we study the computation of the rate-distortion-perception function (RDPF) for a multivariate Gaussian source assuming jointly Gaussian ...

eMedical Research Council/Wits University Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, ...

Abstract: In the multivariate time series prediction tasks, the impact information of all nonpredictive time series on the predictive target series is difficult to be extracted at different time ...

Variation in phenotypic traits among conspecific populations is common in nature and often, but not always, reflects adaptation to the local environment. Although natural selection is a potent force ...

Background: Hemispatial neglect is a debilitating consequence of right hemispheric ischemic stroke (RIS), with evidence that patient-level factors influence neglect severity. Study objective: ...

Individuals with sickle cell anemia experience cognitive deficits, even in the absence of cerebral infarcts or strokes. This study tested the hypothesis that elevated cerebral blood flow and oxygen ...