GWAS of trait variance (C++)

R package to perform regression-based Brown-Forsythe test

Code for reproducing the results of the paper "A class of modular and flexible covariate-based covariance functions for nonstationary spatial modeling"

This project is about to use linear regression to examine the relationship between various economic variables and the mortgage rate in the United States.

Ordinary least square (OLS) regression analysis carried out in this project. The selected dependent variables are some public health indicators like anxiety, diabetes. We tried to find the independent variables which are responsible for this health hazard.

Recipes for common linear regression operations: model comparisons, heteroskedasticity, collinearity, goodness of fit

This instruction aims to reproduce the results in the paper “Calibration of inexact computer models with heteroscedastic errors” proposed by Sung, Barber, and Walker (2022).

This R package allows calibration parameter estimation for inexact computer models with heteroscedastic errors proposed by Sung, Barber, and Walker (2022) in SIAM/ASA Journal on Uncertainty Quantification.

Skript zur Videoreihe Regressionsdiagnostik in R