fsld: Flattened Skew-Logistic Distribution (FSLD)

In dmi3kno/qpd: Tools for Quantile-Parametrized Distribiutions

Flattened Skew-Logistic Distribution (FSLD)

Description

Defines quantile function (ICDF), probability density and quantile density function as well as probability function (CDF) for generalized flattened logistic distribution

Usage

qfsld(p, bt, k, dlt = 0.5, a = 0)

ffsld(p, bt, k, dlt = 0.5, a = 0)

dqfsld(p, bt, k, dlt = 0.5, a = 0, log = FALSE)

rfsld(n, bt, k, dlt = 0.5, a = 0)

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

Arguments

p	vector of probabilities
bt	parameter beta of GFLD distribution (scale). Should be non-negative.
k	parameter k of GFLD distribution (shape). Should be non-negative.
dlt	parameter delta of GFLD distribution(mixing parameter). Should be within the interval (0,1), default is 0.5
a	location parameter alpha of GFLD distribution(location parameter), default is 0
log	logical; if TRUE, log density is returnes. Default is FALSE
n	numeric; number of samples to draw from FLD distribution
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.

Value

vector

Examples

qfsld(0.1, 0.5, 0.3, 0.5)
# centered gfld
p <- runif(1e4)
x <- qfsld(p, 0.25, 1)-qfsld(0.5, 0.25, 1)
hist(x,30)

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