govindarajulu: Govindarajulu probability distribution

In dmi3kno/qpd: Tools for Quantile-Parametrized Distribiutions

Govindarajulu probability distribution

Description

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

Usage

qgovindarajulu(p, sg, bt)

fgovindarajulu(p, sg, bt)

dqgovindarajulu(p, sg, bt, log = FALSE)

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

dgovindarajulu(x, sg, bt, tol = 1e-06)

Arguments

p	vector of probabilities
sg	parameter sigma of Govindarajulu distribution
bt	parameter beta of Govindarajulu distribution
log	logical; if TRUE, log density is returned. 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.
x	numeric vector

Value

vector

Examples

qgovindarajulu(0.1, 1, 5)
fgovindarajulu((1:5)/10, 1, 5)

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