cdfpdq4 | R Documentation |
This function computes the cumulative probability or nonexceedance probability of the Polynomial Density-Quantile4 (PDQ4) distribution given parameters (\xi
, \alpha
, \kappa
) computed by parpdq4
. The cumulative distribution function has no explicit form and requires numerical methods. The R function uniroot()
is used to root the quantile function quapdq4
to compute the nonexceedance probability. The distribution's canonical definition is in terms of the quantile function (quapdq4
).
cdfpdq4(x, para, paracheck=TRUE)
x |
A real value vector. |
para |
The parameters from |
paracheck |
A logical switch as to whether the validity of the parameters should be checked. Default is |
Nonexceedance probability (F
) for x
.
W.H. Asquith
Hosking, J.R.M., 2007, Distributions with maximum entropy subject to constraints on their L-moments or expected order statistics: Journal of Statistical Planning and Inference, v. 137, no. 9, pp. 2870–2891, \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1016/j.jspi.2006.10.010")}.
pdfpdq4
, quapdq4
, lmompdq4
, parpdq4
## Not run:
FF <- seq(0.001, 0.999, by=0.001)
para <- list(para=c(0, 0.4332, -0.7029), type="pdq4")
Fpdq4 <- cdfpdq4(quapdq4(FF, para), para)
plot(FF, Fpdq4, type="l", col=grey(0.8), lwd=4)
# should be a 1:1 line, it is
## End(Not run)
## Not run:
para <- list(para=c(0, 0.4332, -0.7029), type="pdq4")
X <- seq(-5, +12, by=(12 - -5) / 500)
plot( X, cdfpdq4(X, para), type="l", col=grey(0.8), lwd=4, ylim=c(0, 1))
lines(X, pf( exp(X), df1=5, df2=4), lty=2)
lines(X, c(NA, diff( cdfpdq4(X, para)) / ((12 - -5) / 500)))
lines(X, c(NA, diff( pf( exp(X), df1=5, df2=4)) / ((12 - -5) / 500)), lty=2) #
## End(Not run)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.