These methods tidy the coefficients of mnl and nl models generated
by the functions of the mlogit
package.
# S3 method for mlogit tidy(x, conf.int = FALSE, conf.level = 0.95, ...)
x | an object returned from |
---|---|
conf.int | Logical indicating whether or not to include a confidence
interval in the tidied output. Defaults to |
conf.level | The confidence level to use for the confidence interval
if |
... | Additional arguments. Not used. Needed to match generic
signature only. Cautionary note: Misspelled arguments will be
absorbed in |
Other mlogit tidiers:
augment.mlogit()
,
glance.mlogit()
A tibble::tibble()
with columns:
Upper bound on the confidence interval for the estimate.
Lower bound on the confidence interval for the estimate.
The estimated value of the regression term.
The two-sided p-value associated with the observed statistic.
The value of a T-statistic to use in a hypothesis that the regression term is non-zero.
The standard error of the regression term.
The name of the regression term.
if (requireNamespace("mlogit", quietly = TRUE)) { if (FALSE) { library(mlogit) data("Fishing", package = "mlogit") Fish <- dfidx(Fishing, varying = 2:9, shape = "wide", choice = "mode") m <- mlogit(mode ~ price + catch | income, data = Fish) tidy(m) augment(m) glance(m) } }