Spline: Random generation and distribution function of k-monotone...

Description Usage Arguments Details Value Author(s) References See Also Examples

Description

Random generation and distribution function for the spline of the basis from Lefevre and Loisel (2013), and mixtures of splines.

Usage

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rSpline(n=1, supp, k)
dSpline(supp, k)
rmixSpline(n=1, supp, k,prob)
dmixSpline(supp, k, prob)

Arguments

supp

Support of the spline, or vector of the supports of the splines for the mixture of splines

n

Number of random values to return

k

Degree of monotony

prob

Vector of probabilities for the mixture of splines

Details

See BaseNorm for details on the spline basis.

Value

rSpline and rmixSpline generates random deviates from the splines and mixtures of splines.

dSpline and dmixSpline gives the distribution function.

Author(s)

Jade Giguelay [email protected] http://maiage.jouy.inra.fr/jgiguelay

References

Giguelay, J., (2016), Estimation of a discrete distribution under k-monotony constraint, in revision, (arXiv:1608.06541)

Lefevre C., Loisel S. (2013) <DOI:10.1239/jap/1378401239> On multiply monotone distributions, continuous or discrete, with applications, Journal of Applied Probability, 50, 827–847.

See Also

pEmp

Examples

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x=rSpline(n=100, 20, 3)
p=dSpline(20, 3)
xmix=rmixSpline(n=100, c(5, 20), 3, c(0.5, 0.5))
pmix=dmixSpline(c(5, 20), 3, c(0.5, 0.5))
par(mfrow=c(1, 2))
hist(x, freq=FALSE)
lines(p, col="red")
hist(xmix, freq=FALSE)
lines(pmix, col="red")

pkmon documentation built on Oct. 22, 2018, 9:03 a.m.