internal {evmix}

Internal Functions

Description

Internal functions not designed to be used directly, but are all exported to make them visible to users.

Usage

kdenx(x, kerncentres, lambda, kernel = "gaussian")

pkdenx(x, kerncentres, lambda, kernel = "gaussian")

bckdenxsimple(x, kerncentres, lambda, kernel = "gaussian")

pbckdenxsimple(x, kerncentres, lambda, kernel = "gaussian")

bckdenxcutnorm(x, kerncentres, lambda, kernel = "gaussian")

pbckdenxcutnorm(x, kerncentres, lambda, kernel = "gaussian")

bckdenxrenorm(x, kerncentres, lambda, kernel = "gaussian")

pbckdenxrenorm(x, kerncentres, lambda, kernel = "gaussian")

bckdenxreflect(x, kerncentres, lambda, kernel = "gaussian")

pbckdenxreflect(x, kerncentres, lambda, kernel = "gaussian")

pxb(x, lambda)

bckdenxbeta1(x, kerncentres, lambda, xmax)

pbckdenxbeta1(x, kerncentres, lambda, xmax)

bckdenxbeta2(x, kerncentres, lambda, xmax)

pbckdenxbeta2(x, kerncentres, lambda, xmax)

bckdenxgamma1(x, kerncentres, lambda)

pbckdenxgamma1(x, kerncentres, lambda)

bckdenxgamma2(x, kerncentres, lambda)

pbckdenxgamma2(x, kerncentres, lambda)

bckdenxcopula(x, kerncentres, lambda, xmax)

pbckdenxcopula(x, kerncentres, lambda, xmax)

pbckdenxlog(x, kerncentres, lambda, offset, kernel = "gaussian")

pbckdenxnn(x, kerncentres, lambda, kernel = "gaussian", nn)

qmix(x, u, epsilon)

qmixprime(x, u, epsilon)

qgbgmix(x, ul, ur, epsilon)

qgbgmixprime(x, ul, ur, epsilon)

pscounts(x, beta, design.knots, degree)

Arguments

x

quantiles

kerncentres

kernel centres (typically sample data vector or scalar)

lambda

bandwidth for kernel (as half-width of kernel) or NULL

kernel

kernel name (default = "gaussian")

xmax

upper bound on support (copula and beta kernels only) or NULL

offset

offset added to kernel centres (logtrans only) or NULL

nn

non-negativity correction method (simple boundary correction only)

u

threshold

epsilon

interval half-width

ul

lower tail threshold

ur

upper tail threshold

beta

vector of B-spline coefficients (required)

design.knots

spline knots for splineDesign function

degree

degree of B-splines (0 is constant, 1 is linear, etc.)

Details

Internal functions not designed to be used directly. No error checking of the inputs is carried out, so user must be know what they are doing. They are undocumented, but are made visible to the user.

Mostly, these are used in the kernel density estimation functions.

Acknowledgments

Based on code by Anna MacDonald produced for MATLAB.

Author(s)

Yang Hu and Carl Scarrott [e-mail].

See Also

density, kden and bckden.