Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!
Get Started for Free

svydiags

Linear Regression Model Diagnostics for Survey Data

Contains functions for computing diagnostics for fixed effects linear regression models fitted with survey data. Extensions of standard diagnostics to complex survey data are included: standardized residuals, leverages, Cook's D, dfbetas, dffits, condition indexes, and variance inflation factors.

Functions (9)

Vmat

Compute covariance matrix of residuals for linear models fitted with complex survey data

nhanes2007

National Health and Nutrition Examination Survey data, 2007-2008

svyCooksD

Modified Cook's D for models fitted with complex survey data

svycollinear

Condition indexes and variance decompositions in linear models fitted with complex survey data

svydfbetas

dfbetas for models fitted with complex survey data

svydffits

dffits for models fitted with complex survey data

svyhat

Leverages for models fitted with complex survey data

svystdres

Standardized residuals for models fitted with complex survey data

svyvif

Variance inflation factors (VIF) for linear models fitted with complex survey data

svydiags

Linear Regression Model Diagnostics for Survey Data

v0.3
GPL (>= 2)
Authors
Richard Valliant
Initial release
2018-12-13

We don't support your browser anymore

Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.