summary.mnl: Summary method for the mnl function

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

Summary method for the mnl function

Description

Summary method for the mnl function

Usage

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

Arguments

object	Return value from mnl
sum_check	Optional output. "confint" to show coefficient confidence interval estimates. "rrr" to show relative risk ratios (RRRs) and confidence interval estimates.
conf_lev	Confidence level to use for coefficient and RRRs 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/mnl.html for an example in Radiant

See Also

mnl to generate the results

plot.mnl to plot the results

predict.mnl to generate predictions

plot.model.predict to plot prediction output

Examples

result <- mnl(
  ketchup,
  rvar = "choice",
  evar = c("price.heinz28", "price.heinz32", "price.heinz41", "price.hunts32"),
  lev = "heinz28"
)
summary(result)

radiant.model documentation built on Oct. 16, 2023, 9:06 a.m.