PMGA: Implement the pool monotone group algorithm

In glrt: Generalized Logrank Tests for Interval-censored Failure Time Data

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

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 2, 2019, 8:31 a.m.