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svydiags (version 0.3)

Linear Regression Model Diagnostics for Survey Data

Description

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.

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Version

Install

install.packages('svydiags')

Monthly Downloads

511

Version

0.3

License

GPL (>= 2)

Maintainer

Richard Valliant

Last Published

December 23rd, 2018

Functions in svydiags (0.3)

Vmat

Compute covariance matrix of residuals for linear models fitted with complex survey data
nhanes2007

National Health and Nutrition Examination Survey data, 2007-2008
svycollinear

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

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

Variance inflation factors (VIF) for linear 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
svydfbetas

dfbetas for models fitted with complex survey data
svydffits

dffits for models fitted with complex survey data