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svydiags  

Regression Model Diagnostics for Survey Data
View on CRAN: Click here


Download and install svydiags package within the R console
Install from CRAN:
install.packages("svydiags")

Install from Github:
library("remotes")
install_github("cran/svydiags")

Install by package version:
library("remotes")
install_version("svydiags", "0.7")



Attach the package and use:
library("svydiags")
Maintained by
Richard Valliant
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-12-23
Latest Update: 2024-11-08
Description:
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 as found in Li and Valliant (Surv. Meth., 2009, 35(1), pp. 15-24; Jnl. of Off. Stat., 2011, 27(1), pp. 99-119; Jnl. of Off. Stat., 2015, 31(1), pp. 61-75); Liao and Valliant (Surv. Meth., 2012, 38(1), pp. 53-62; Surv. Meth., 2012, 38(2), pp. 189-202).Variance inflation factors are also computed for some general linear models (logistic and poisson) as described in Liao (U. Maryland thesis, 2010).
How to cite:
Richard Valliant (2018). svydiags: Regression Model Diagnostics for Survey Data. R package version 0.7, https://cran.r-project.org/web/packages/svydiags. Accessed 06 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:11), 0.3 (2018-12-23 17:20), 0.4 (2022-04-28 00:10), 0.5 (2024-03-12 18:40), 0.6 (2024-05-08 23:10)
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Complete documentation for svydiags
Functions, R codes and Examples using the svydiags R package
Some associated functions: Vmat . nhanes2007 . svyCooksD . svycollinear . svydfbetas . svydffits . svyhat . svystdres . svyvif . 
Some associated R codes: Vmat.R . svyCooksD.R . svycollinear.R . svydfbetas.R . svydffits.R . svyhat.R . svystdres.R . svyvif.R .  Full svydiags package functions and examples
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