tlambda: Tukey lambda distribption

In dmi3kno/qpd: Tools for Quantile-Parametrized Distribiutions

Tukey lambda distribption

Description

Defines quantile function (ICDF), and quantile density function as well as probability function (CDF) for Tukey lambda distribution

Usage

qtlambda(p, lambda)

ftlambda(p, lambda)

dqtlambda(p, lambda, log = FALSE)

ptlambda(q, ..., lower = 0, upper = 1, tol = 1e-06, silent = TRUE, trace = 0)

rtlambda(n, lambda)

Arguments

p	vector of probabilities
lambda	parameter beta of Tukey lambda distribution (scale and shape).
log	logical; if TRUE, log density is returnes. Default is FALSE
q	vector of quantiles
...	used by method
lower, upper	the stats::uniroot lower and upper end points of the interval to be searched. Defaults are 0 and 1, respectively
tol	the stats::uniroot desired accuracy (convergence tolerance). Default value 1e-06
silent	the base::try argument. Default is TRUE
trace	integer number passed to stats::uniroot; if positive, tracing information is produced. Higher values giving more details.
n	numeric; number of samples to draw from Tukey Lambda distribution

Value

vector

Examples

qtlambda(0.1, -0.5)
p <- runif(1e4)
x <- qtlambda(p, -0.5)+qtlambda(p, 0.5)
hist(x,30)

dmi3kno/qpd documentation built on Sept. 29, 2024, 6:39 p.m.