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

# Compute least squares estimates of one bounded or two ordered isotonic regression curves

## Documentation for package ‘OrdMonReg’ version 1.0.3

- DESCRIPTION file.
- Package NEWS.

## Help Pages

OrdMonReg-package | Compute least squares estimates of one bounded or two ordered antitonic regression curves
astar_1 | Computes explicitly known values of the estimates in the two ordered functions antitonic regression problem
BoundedAntiMean | Compute least square estimate of an iso- or antitonic function, bounded below and above by fixed functions
BoundedAntiMeanTwo | Compute solution to the problem of two ordered isotonic or antitonic curves
BoundedIsoMean | Compute least square estimate of an iso- or antitonic function, bounded below and above by fixed functions
BoundedIsoMeanTwo | Compute solution to the problem of two ordered isotonic or antitonic curves
BoundedIsoMeanTwoDykstra | Compute solution to the problem of two ordered isotonic or antitonic curves
bstar_n | Computes explicitly known values of the estimates in the two ordered functions antitonic regression problem
disp | Function to display numbers in outputs
LSfunctional | Compute least squares criterion for two ordered isotonic regression functions
MA | Compute bounded weighted average
mechIng | Mechanical engineering dataset used to illustrate ordered isotonic regression
minK | Compute projections on restriction cones in Dykstra's algorithm.
minK1 | Compute projections on restriction cones in Dykstra's algorithm.
minK2 | Compute projections on restriction cones in Dykstra's algorithm.
minK3 | Compute projections on restriction cones in Dykstra's algorithm.
OrdMonReg | Compute least squares estimates of one bounded or two ordered antitonic regression curves
Subgradient | Computes a subgradient for the projected subgradient algorithm