GWAS of trait variance (C++)
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Updated
Sep 21, 2022 - R
GWAS of trait variance (C++)
This project is about to use linear regression to examine the relationship between various economic variables and the mortgage rate in the United States.
R package to perform regression-based Brown-Forsythe test
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.
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.
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).
Skript zur Videoreihe Regressionsdiagnostik in R
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