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OrdMonReg
View on CRAN: Click
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Download and install OrdMonReg package within the R console
Install from CRAN:
install.packages("OrdMonReg")
Install from Github:
library("remotes")
install_github("cran/OrdMonReg") Install by package version:
library("remotes")
install_version("OrdMonReg", "1.0.3") Attach the package and use:
library("OrdMonReg")
Maintained by
Kaspar Rufibach
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2009-04-15
Latest Update: 2011-12-01
Description:
We consider the problem of estimating two isotonic regression curves g1* and g2* under the constraint that they are ordered, i.e. g1* <= g2*. Given two sets of n data points y_1, ..., y_n and z_1, ..., z_n that are observed at (the same) deterministic design points x_1, ..., x_n, the estimates are obtained by minimizing the Least Squares criterion L(a, b) = sum_{i=1}^n (y_i - a_i)^2 w1(x_i) + sum_{i=1}^n (z_i - b_i)^2 w2(x_i) over the class of pairs of vectors (a, b) such that a and b are isotonic and a_i <= b_i for all i = 1, ..., n. We offer two different approaches to compute the estimates: a projected subgradient algorithm where the projection is calculated using a PAVA as well as Dykstra's cyclical projection algorithm.
How to cite:
Kaspar Rufibach (2009). OrdMonReg: Compute least squares estimates of one bounded or two ordered isotonic regression curves. R package version 1.0.3, https://cran.r-project.org/web/packages/OrdMonReg. Accessed 25 Jun. 2026.
Previous versions and publish date:
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Complete documentation for OrdMonReg
Functions, R codes and Examples using
the OrdMonReg R package
Some associated functions: BoundedAntiMeanTwo . BoundedIsoMean . BoundedIsoMeanTwoDykstra . LSfunctional . MA . Subgradient . bstar_n . disp . mechIng . minK . ordMonReg-package .
Some associated R codes: Full OrdMonReg package functions and examples
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