cdfquantreg (version 1.3.1-2)

predict.cdfqr: Methods for Cdfqr Objects

Description

Methods for obtaining the fitted/predicted values for a fitted cdfqr object.

Usage

# S3 method for cdfqr
predict(
  object,
  newdata = NULL,
  type = c("full", "mu", "sigma", "theta", "one", "zero"),
  quant = 0.5,
  ...
)
# S3 method for cdfqr
fitted(
  object,
  type = c("full", "mu", "sigma", "theta", "one", "zero"),
  plot = FALSE,
  ...
)

Arguments

object

A cdfqr model fit object

newdata

Optional. A data frame in which to look for variables with which to predict. If not provided, the fitted values are returned

type

A character that indicates whether the full model prediction/fitted values are needed, or values for the `mu` and `sigma` submodel only.

quant

A number or a numeric vector (must be in (0, 1)) to specify the quantile(s) of the predicted value (when `newdata` is provided, and predicted values for responses are required). The default is to use median to predict response values.

...

currently ignored

plot

if a plot is needed.

Examples

data(cdfqrExampleData)
fit <- cdfquantreg(crc99 ~ vert | confl, 't2','t2', data = JurorData)

plot(predict(fit))
plot(predict(fit))