Extract various quantities of interest from an object of class
fair.model.
# methods for all fair.model objects.
# S3 method for fair.model
coef(object, ...)
# S3 method for fair.model
residuals(object, ...)
# S3 method for fair.model
fitted(object, type = "response", ...)
# S3 method for fair.model
sigma(object, ...)
# S3 method for fair.model
deviance(object, ...)
# S3 method for fair.model
logLik(object, ...)
# S3 method for fair.model
nobs(object, ...)
# S3 method for fair.model
print(x, digits, ...)
# S3 method for fair.model
summary(object, ...)
# S3 method for fair.model
all.equal(target, current, ...)
# S3 method for fair.model
plot(x, support = FALSE, regression = FALSE, ncol = 2, ...)# predict() methods.
# S3 method for nclm
predict(object, new.predictors, new.sensitive, type = "response", ...)
# S3 method for zlm
predict(object, new.predictors, type = "response", ...)
# S3 method for zlrm
predict(object, new.predictors, type = "response", ...)
# S3 method for frrm
predict(object, new.predictors, new.sensitive, type = "response", ...)
# S3 method for fgrrm
predict(object, new.predictors, new.sensitive, type = "response", ...)
an object of class fair.model or
nclm.
a character string, the type of fitted value. If
"response", fitted() and predict() will return the
fitted values (if the response in the model is continuous) or the
classification probabilities (if it was discrete). If "class" and
object is a classifier, fitted() and predict() will
return the class labels as a factor. If "link" and object is a
classifier, fitted() and predict() will return the linear
component of the fitted or predicted value, on the scale of the link
function.
a non-negative integer, the number of significant digits.
a numeric matrix or a data frame containing numeric and factor columns; the predictors for the new observations.
a numeric matrix or a data frame containing numeric and factor columns; the sensitive attributes for the new observations.
a logical value, whether to draw support lines (diagonal of the
first quadrant, horizontal line at zero, etc.) in plot().
a logical value, whether to draw the regression line of the
observed values on the fitted values from the model in plot().
a positive integer, the number of columns the plots will be arranged into.
additional arguments, currently ignored.
Marco Scutari