Tidying methods for logit models
These methods tidy the coefficients of mnl and nl models generated
by the functions of the mlogit package.
## S3 method for class '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 |
A tibble::tibble() with columns:
conf.high |
Upper bound on the confidence interval for the estimate. |
conf.low |
Lower bound on the confidence interval for the estimate. |
estimate |
The estimated value of the regression term. |
p.value |
The two-sided p-value associated with the observed statistic. |
statistic |
The value of a T-statistic to use in a hypothesis that the regression term is non-zero. |
std.error |
The standard error of the regression term. |
term |
The name of the regression term. |
Other mlogit tidiers:
augment.mlogit(),
glance.mlogit()
if (requireNamespace("mlogit", quietly = TRUE)) {
## Not run:
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)
## End(Not run)
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