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svydiags
View on CRAN: Click
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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", "0.6")
Attach the package and use:
library("svydiags")
Maintained by
Richard Valliant
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-12-23
Latest Update: 2022-04-27
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 0.6, https://cran.r-project.org/web/packages/svydiags
Previous versions and publish date:
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Functions, R codes and Examples using
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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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