cdflmrq {lmomco} | R Documentation |
Cumulative Distribution Function of the Linear Mean Residual Quantile Function Distribution
Description
This function computes the cumulative probability or nonexceedance probability of the “Linear Mean Residual Quantile Function” distribution given parameters computed by parlmrq
. The cumulative distribution function has no explicit form and requires numerical methods. The R function uniroot
is used to root the quantile function qualmrq
to compute the nonexceedance probability. The function returns 0 or 1 if the x
argument is at or beyond the limits of the distribution as specified by the parameters. The cdflmrq
function is also used with numerical methods to solve the pdflmrq
.
Usage
cdflmrq(x, para, paracheck=FALSE)
Arguments
x |
A real value vector. |
para |
|
paracheck |
A logical switch as to whether the validity of the parameters should be checked. Default is |
Value
Nonexceedance probability (F
) for x
.
Author(s)
W.H. Asquith
References
Midhu, N.N., Sankaran, P.G., and Nair, N.U., 2013, A class of distributions with linear mean residual quantile function and it's generalizations: Statistical Methodology, v. 15, pp. 1–24.
See Also
pdflmrq
, qualmrq
, lmomlmrq
, parlmrq
Examples
lmr <- lmoms(c(3, 0.05, 1.6, 1.37, 0.57, 0.36, 2.2))
cdflmrq(2,parlmrq(lmr))