svyclm: Wrapper for Ordinal Logistic Regression (cumulative link...

In carlganz/svrepmisc: svrepmisc: Miscellaneous Functions for Replicate Weights

Wrapper for Ordinal Logistic Regression (cumulative link model) for Replicate Weights

Description

Uses withReplicates and clm to generate coefficients, and standards errors for ordinal logistic regressions using replicate weights

Usage

svyclm(formula, design, subset, ..., scale.weights = FALSE)

Arguments

formula	Model formula
design	Survey design from svrepdesign
subset	Expression to select a subpopulation
...	Other arugments passed to clm
scale.weights	Indicate whether to rescale weights (defaults to false)

References

Lumley, Thomas. Complex Surveys: A Guide to Analisys Using R. Hoboken, NJ: Wiley, 2010. Print.

See Also

withReplicates clm

Examples

library(survey)
data(api)
d <- svydesign(id=~dnum, weights=~pw, data=apiclus1, fpc=~fpc)
dwr <- as.svrepdesign(d, type = "bootstrap", replicates = 100)
mod <- svyclm(stype ~ ell + mobility, dwr)
mod
confint(mod)
library(broom)
tidy(mod)
tidy(mod, exponentiate = TRUE, conf.int = TRUE)

carlganz/svrepmisc documentation built on July 4, 2023, 6:56 p.m.