BoundedIsoMeanTwoDykstra: Compute solution to the problem of two ordered isotonic or...

In OrdMonReg: Compute least squares estimates of one bounded or two ordered isotonic regression curves

Description

See details below.

Usage

BoundedIsoMeanTwoDykstra(g1, w1, g2, w2, K1 = 1000, 
    delta = 10^(-8), output = TRUE)

Arguments

g1	Vector in R^n, measurements of upper function.
w1	Vector in R^n, weights for upper function.
g2	Vector in R^n, measurements of lower function.
w2	Vector in R^n, weights for lower function.
K1	Upper bound on number of iterations.
delta	Upper bound on the error, defines stopping criterion.
output	Should intermediate results be output?

Details

See BoundedIsoMeanTwo for a description of the problem. This function computes the estimates via Dykstra's (see Dykstra, 1983) cyclical projection algorithm.

The algorithm is implemented for isotonic curves.

Value

g1	The estimated function \hat g_1^\circ.
g2	The estimated function \hat g_2^\circ.
L	Value of the least squares criterion at the minimum.
error	Value of error (norm of difference two consecutive projections).
k	Number of iterations performed.

Warning

Note that we have chosen a very simply stopping criterion here, namely the algorithm stops if the norm of two consecutive projections is smaller than δ. If n is very small, it may happen that two consecutive projections are equal although L is not yet minimal (note that this typically happens if g1 = g2). If that is the case, we suggest to set δ < 0 and let the algorithm run a sufficient number of iterations (specified by K1) to verify that the least squares criterion value can not be decreased anymore.

Author(s)

Fadoua Balabdaoui [e-mail]
http://www.ceremade.dauphine.fr/~fadoua

Kaspar Rufibach (maintainer) [e-mail]
http://www.kasparrufibach.ch

Filippo Santambrogio [e-mail]
http://www.math.u-psud.fr/~santambr/

References

Balabdaoui, F., Rufibach, K., Santambrogio, F. (2009). Least squares estimation of two ordered monotone regression curves. Preprint.

Dykstra, R.L. (1983). An Algorithm for Restricted Least Squares Regression. J. Amer. Statist. Assoc., 78, 837–842.

See Also

The functions BoundedAntiMean and BoundedIsoMean for the problem of estimating one antitonic (isotonic) regression function bounded above and below by fixed functions. The function BoundedAntiMeanTwoDykstra depends on the functions discussed in minK.

Examples

## examples are provided in the help file of the main function of this package:
?BoundedIsoMeanTwo

OrdMonReg documentation built on May 2, 2019, 1:45 p.m.