confint.logitr: Extract Model Confidence Interval

In jhelvy/logitr: Logit Models w/Preference & WTP Space Utility Parameterizations

Extract Model Confidence Interval

Description

Returns confidence intervals from an object of class logitr.

Usage

## S3 method for class 'logitr'
confint(object, parm, level = 0.95, ...)

Arguments

object	is an object of class logitr (a model estimated using the 'logitr()' function).
parm	A specification of which parameters are to be given confidence intervals, either a vector of numbers or a vector of names. If missing, all parameters are considered.
level	The confidence level required.
...	further arguments.

Value

A data frame of the confidence intervals of model coefficients.

Examples

library(logitr)

# Estimate a preference space model
mnl_pref <- logitr(
  data    = yogurt,
  outcome = "choice",
  obsID   = "obsID",
  pars    = c("price", "feat", "brand")
)

# Compute a confidence interval
confint(mnl_pref)

jhelvy/logitr documentation built on Oct. 3, 2023, 2:33 p.m.