Package 'DistrFree'

Create a Distribution-Free Linear Model

Description

Create a Distribution-Free Linear Model

Usage

DistrFree(
 baseline, location,
 link = c("logit", "probit", "cloglog", "loglog")
)

## S3 method for class 'DistrFree'
mean(x, ...)

## S3 method for class 'DistrFree'
variance(x, ...)

## S3 method for class 'DistrFree'
skewness(x, ...)

## S3 method for class 'DistrFree'
kurtosis(x, ...)

## S3 method for class 'DistrFree'
cdf(d, x, drop = TRUE, elementwise = NULL, ...)

## S3 method for class 'DistrFree'
pdf(d, x, drop = TRUE, elementwise = NULL, ...)

## S3 method for class 'DistrFree'
quantile(x, probs, drop = TRUE, elementwise = NULL, ...)

Arguments

baseline	PENDING
location	a numeric vector defining the shift effect on the latent scale
link	a character defining a link function and thus the model and parameter interpretation.
x	an object of class DistrFree.
...	currently unused.

Value

DistrFree() returns an object of class DistrFree with methods.

An object of class DistrFree is a list containing at least the following components:

Examples

d <- DistrFree(location = c(0, 2, 4), baseline = seq_len(100))
mean(d)
variance(d)
kurtosis(d)
skewness(d)

---

Return the support of the distribution-free linear transformation model

Description

Return the support of the distribution-free linear transformation model

Usage

## S3 method for class 'DistrFree'
support(d, drop = TRUE, ...)

Arguments

d	a 'DistrFree' object created by a call to [DistrFree()].
drop	logical. Should the result be simplified to a vector if possible?
...	currently not used.

Value

In case of a single distribution object, a numeric vector of length 2 with the minimum and maximum value of the support (if 'drop = TRUE', default) or a 'matrix' with 2 columns. In case of a vectorized distribution object, a matrix with 2 columns containing all minima and maxima.

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