predictProbs: Predict expected choice probabilities

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

Predict expected choice probabilities

Description

Returns the expected choice probabilities for a single set or multiple sets of alternatives based on the results from an estimated model.

Usage

predictProbs(
  model,
  alts,
  altID,
  obsID = NULL,
  computeCI = TRUE,
  ci = 0.95,
  numDraws = 10^4,
  alpha
)

Arguments

model	The output of a model estimated model using the logitr() function.
alts	A data frame of a set of alternatives for which to predict choice probabilities. Each row is an alternative and each column an attribute corresponding to parameter names in the estimated model.
altID	The name of the column that identifies each alternative in each set of alternatives.
obsID	The name of the column that identifies each set of alternatives. Required if predicting results for more than one set of alternatives. Defaults to NULL (for a single set of alternatives).
computeCI	Should a confidence interval be computed? Defaults to TRUE.
ci	The sensitivity of the computed confidence interval (CI). Defaults to ci = 0.95, reflecting a 95% CI.
numDraws	The number of draws to use in simulating uncertainty for the computed confidence interval.
alpha	The sensitivity of the computed confidence interval. No longer used as of v0.2.7 - if provided, a warning is shown and ci is computed from alpha.

Value

A data frame with the estimated choice probabilities for each alternative in alts.

logitr documentation built on Sept. 11, 2024, 6:40 p.m.