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Predictions from Multinomial Regression

Source: R/multinomialreg.R
predict.mlogit.Rd

Computes predicted probabilities for the categorical outcome based on a mlogit object. Can return probabilities for all categories or only for the observed response.

Usage

# S3 method for class 'mlogit'
predict(
  object,
  newdata,
  se = TRUE,
  response = TRUE,
  Y = NULL,
  level = 0.95,
  ...
)

Arguments

object

Object of class "mlogit".

newdata

Data frame for prediction. If missing, predictions are made for the original data.

se

Logical; if TRUE, computes standard errors and confidence intervals.

response

Logical; if TRUE (default), returns probabilities only for the observed response (if newdata contains the response). If FALSE, returns probabilities for all categories.

Y

Vector of outcome levels to predict probabilities for (optional).

level

Confidence level for intervals (default 0.95).

...

Additional arguments.

Value

A matrix or data frame containing:

pred

Predicted probabilities.

se

Standard errors (if se=TRUE).

lower, upper

Confidence intervals (if se=TRUE).

If response=FALSE, columns correspond to the levels of the outcome factor.

See also

mlogit

Author

Thomas Scheike