estpi0: Computing non-parametric mixing distribution with estimated...

In xiangjiexue/npfixedcompR: Non-parametric estimation of mixing distribution with possibily fixed components

Description

computing non-parametric mixing distribution with estimated proportion at 0

Usage

estpi0(x, ...)

Arguments

x	a object from implemented family
...	parameters above passed to the specific method.

Details

This is a function for computing non-parametric mixing distribution with estimated proportion at 0. Different families will have different threshold values.

The parameters are listed as follows:

• val: Threshold value

• mix: The initial proper mixing distribution.

• tol: tolerance to stop the code.

• maxiter: maximum iterations allowed.

• verbose: logical; Whether to print the intermediate results.

It is not shown in the parameter section since various method have different default thresold values and this function essentially calls the class method in the object.

The full list of implemented families is in makeobject.

Examples

data = rnorm(500, c(0, 2))
pi0 = 0.5
x = makeobject(data, method = "npnormll")
estpi0(x)
x = makeobject(data, method = "npnormllw")
estpi0(x)
x = makeobject(data, method = "npnormcvm")
estpi0(x)
x = makeobject(data, method = "npnormcvm")
estpi0(x)
x = makeobject(data, method = "npnormad")
estpi0(x)
x = makeobject(data, method = "nptll")
estpi0(x)

xiangjiexue/npfixedcompR documentation built on Jan. 1, 2021, 11:39 p.m.