MMyerson: Quantile function for Modified Myerson distribution.

In dmi3kno/qpd: Tools for Quantile-Parametrized Distribiutions

Quantile function for Modified Myerson distribution.

Description

Quantile function for Modified Myerson distribution.

Usage

qMMyerson(
  p,
  q1,
  q2,
  q3,
  alpha = 0.25,
  sfun = stats::qnorm,
  lower.tail = TRUE,
  log.p = FALSE
)

Arguments

p	vector of probabilities
q1, q2, q3	numeric values representing bottom quantile, middle quantile (50th percentile) and top quantile. Quantiles are assumed to be symmetrical.
alpha	numerical fixed proportion of distribution below the bottom quantile. Default value is 0.25
sfun	function; standard vectorized quantile function with a single depth parameter
lower.tail	logical; if TRUE (default), probabilities are P[X\leq x], otherwise, P[X > x]
log, log.p	logical; if TRUE, probabilities p are given as log(p)

Value

a vector of quantiles of length equal to length(x)

Examples

pgrd <- make_pgrid()
qMMyerson(pgrd, 10, 20, 40, alpha=0.1, sfun=stats::qlogis)

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