logitOR: Table of odds ratios and confidence intervals for logit...
In jgabry/QMSS_package: Quantitative Methods in the Social Sciences

Description Usage Arguments Value Author(s) Examples

Table of odds ratios and confidence intervals for logit models

1	logitOR(fit, intercept = TRUE, level = 0.95)

`fit`	A logit model fit with `glm`.
`intercept`	A logical value indicating whether the intercept should be included in the output. Defaults to `TRUE`. If `fit` does not include an intercept the `intercept` argument should be left at the default value of `TRUE`.
`level`	The desired confidence level to be passed to `confint.glm` (MASS).

Odds ratios and confidence intervals for the parameters in fit.

Jonah Gabry <jsg2201@columbia.edu>

Y <- GSS_2010$realinc;  X <- with(GSS_2010, cbind(age, educ))
Y <- cut(Y, breaks=c(-Inf, median(Y, na.rm = T), Inf),
            labels=c("Low", "High"))
fit <- glm(Y ~ X, family = binomial)
logitOR(fit)
logitOR(fit, intercept = FALSE, level = 0.90)