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radiant.model (version 0.8.0)

summary.logistic: Summary method for the logistic function

Description

Summary method for the logistic function

Usage

# S3 method for 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

Run this code
# NOT RUN {
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")

# }

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