summary.logistic: Summary method for the logistic function

In radiant-rstats/radiant.model: Model Menu for Radiant: Business Analytics using R and Shiny

Summary method for the logistic function

Description

Summary method for the logistic function

Usage

## S3 method for class 'logistic'
summary(object, sum_check = "", conf_lev = 0.95, test_var = "", dec = 3, ...)

Arguments

object	Return value from logistic
sum_check	Optional output. "vif" to show multicollinearity diagnostics. "confint" to show coefficient confidence interval estimates. "odds" to show odds ratios and confidence interval estimates.
conf_lev	Confidence level to use for coefficient and odds confidence intervals (.95 is the default)
test_var	Variables to evaluate in model comparison (i.e., a competing models Chi-squared test)
dec	Number of decimals to show
...	further arguments passed to or from other methods

Details

See https://radiant-rstats.github.io/docs/model/logistic.html for an example in Radiant

See Also

logistic to generate the results

plot.logistic to plot the results

predict.logistic to generate predictions

plot.model.predict to plot prediction output

Examples

result <- logistic(titanic, "survived", "pclass", lev = "Yes")
result <- logistic(titanic, "survived", "pclass", lev = "Yes")
summary(result, test_var = "pclass")
res <- logistic(titanic, "survived", c("pclass", "sex"), int = "pclass:sex", lev = "Yes")
summary(res, sum_check = c("vif", "confint", "odds"))
titanic %>%
  logistic("survived", c("pclass", "sex", "age"), lev = "Yes") %>%
  summary("vif")

radiant-rstats/radiant.model documentation built on Nov. 29, 2023, 5:59 a.m.