PMGA: Implement the pool monotone group algorithm

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

View source: R/PMGA.R

Description

For isotonization problems some increase in speed and decrease in complexity can be achieved through the use of the pool monotone groups algorithm of Y.L. Zhang and M.A. Newton (1997). It isotonizes a weighted and ordered set of values. This function is borrowed from package Icens.

Usage

1
PMGA(est, ww=rep(1, length(est)))

Arguments

est

The vector of values, in the appropriate order.

ww

The weight vector.

Details

To be supplied at some later date.

Value

An Object containing the following components:

est

The isotonized estimates.

ww

The weight associated with the isotonized estimates.

poolnum

The number of values pooled in the current estimate.

passes

The number of passes which were required to isotonize the list.

Note

It is used in ModifiedEMICMmac and not to be called by the user.

Author(s)

Alain Vandal and Robert Gentleman

References

Y. L. Zhang and M. A. Newton (1997), http://www.stat.wisc.edu/~newton/newton.html.

See Also

ModifiedEMICMmac


glrt documentation built on May 29, 2017, 10:31 p.m.