README.md
In Jiaxin-Cara-Qian/testpackage: Resisuals and Outlier Influence in Linear Regression
testpackage
Overview
testpackage computes and examines the residuals and influential outliers from a linear regression model.
It contains the following parts:
*hat_matrix: computes leverage and its descriptive statistics.
*res_3: computes three residuals from a linear model (standardized,internally studentized, and externally studentized residuals).
*outlier_influence: computes three diagnostic statistics for measuring influential points(DFFITS, Cook's Distance, and COVRATIO).
*Plot Influential Outliers: includes function plot_dffits, plot_cd, and plot_CVR (plots DFFITS, Cook's Distance, and COVRATIO).
Jiaxin-Cara-Qian/testpackage documentation built on Dec. 18, 2021, 1:30 a.m.
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testpackage
Overview
testpackage computes and examines the residuals and influential outliers from a linear regression model. It contains the following parts:
*hat_matrix: computes leverage and its descriptive statistics.
*res_3: computes three residuals from a linear model (standardized,internally studentized, and externally studentized residuals).
*outlier_influence: computes three diagnostic statistics for measuring influential points(DFFITS, Cook's Distance, and COVRATIO).
*Plot Influential Outliers: includes function plot_dffits, plot_cd, and plot_CVR (plots DFFITS, Cook's Distance, and COVRATIO).
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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