# get_support: Computes support for skewed Lambert W x F distributions In LambertW: Probabilistic Models to Analyze and Gaussianize Heavy-Tailed, Skewed Data

 get_support R Documentation

## Computes support for skewed Lambert W x F distributions

### Description

If the input X \sim F has support on the entire real line (-∞, ∞), then the skewed Lambert W \times F distribution has truncated support [a,b], a,b \in R \cup \pm ∞ depending on \boldsymbol β and (the sign of) γ.

For scale-families no truncation occurs.

### Usage

get_support(tau, is.non.negative = FALSE, input.bounds = c(-Inf, Inf))


### Arguments

 tau named vector τ which defines the variable transformation. Must have at least 'mu_x' and 'sigma_x' element; see complete_tau for details. is.non.negative logical; by default it is set to TRUE if the distribution is not a location but a scale family. input.bounds interval; the bounds of the input distribution. If is.non.negative = FALSE, then it will adjust it to c(0, Inf); also useful for bounded input distributions, such as "unif".

### Details

Half-open interval on the real line (if γ \neq 0) for input with support on the entire real line. For γ = 0 the support of Y is the same as for X. Heavy-tail Lambert W RVs are not affected by truncated support (for δ ≥q 0); thus support is c(lower = -Inf, upper = Inf).

### Value

A vector of length 2 with names 'lower' and 'upper'.

### Examples


get_support(c(mu_x = 0, sigma_x = 1, gamma = 0)) # as gamma = 0
# truncated on the left since gamma > 0
get_support(c(mu_x = 0, sigma_x = 1, gamma = 0.1))

# no truncation for heavy tail(s)
get_support(c(mu_x = 0, sigma_x = 1, delta = 0.1))


LambertW documentation built on Sept. 22, 2022, 5:07 p.m.