Predict expected choice probabilities — predictProbs • logitr

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

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.

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