predict.hill: Predict the adaptive survival or quantile function

Description

Give the adaptive survival function or quantile function

Usage

# S3 method for hill
predict(object, newdata = NULL, type = "quantile",
  input = NULL, threshold.rank = 0, threshold = 0, ...)

Arguments

object

output object of the function hill.

newdata

optionally, a data frame or a vector with which to predict. If omitted, the original data points are used.

type

either "quantile" or "survival".

input

optionnaly, the name of the variable to estimate.

threshold.rank

the rank value for the hill output of the threshold, with default value 0.

threshold

the value of threshold, with default value 0.

...

further arguments passed to or from other methods.

Value

The function provide the quantile assiociated to the adaptive model for the probability grid (transformed to -log(1-p) in the output) if type = "quantile". And the survival function assiociated to the adaptive model for the quantile grid if type = "survival".

Details

If type = "quantile", \(newdata\) must be between 0 and 1. If type = "survival", \(newdata\) must be in the domain of the data from the hill function. If \(newdata\) is a data frame, the variable from which to predict must be the first one or its name must start with a "p" if type = "quantile" and "x" if type = "survival". The name of the variable from which to predict can also be written as \(input\).

Examples

Run this code

# NOT RUN {
x <- abs(rcauchy(100))
hh <- hill(x)
#example for a fixed value of threshold
predict(hh, threshold = 3)
#example for a fixed rank value of threshold
predict(hh, threshold.rank = 30)

# }