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McMiso  

Multicore Multivariable Isotonic Regression
View on CRAN: Click here


Download and install McMiso package within the R console
Install from CRAN:
install.packages("McMiso")

Install from Github:
library("remotes")
install_github("cran/McMiso")

Install by package version:
library("remotes")
install_version("McMiso", "0.2.0")



Attach the package and use:
library("McMiso")
Maintained by
Cheung Ken
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-11-21
Latest Update: 2025-11-21
Description:
The goal of 'McMiso' is to provide functions for isotonic regression when there are multiple independent variables.The functions solve the optimization problem using recursion and leverage parallel computing to improve speed, and are useful for situations with relatively large number of covariates.The estimation method follows the projective Bayes solution described in Cheung and Diaz (2023) <doi:10.1093/jrsssb/qkad014>.
How to cite:
Cheung Ken (2025). McMiso: Multicore Multivariable Isotonic Regression. R package version 0.2.0, https://cran.r-project.org/web/packages/McMiso. Accessed 25 Oct. 2026.
Previous versions and publish date:
0.1.2 (2025-11-21 16:40), (2026-07-09 08:10)
Other packages that cited McMiso R package
View McMiso citation profile
Other R packages that McMiso depends, imports, suggests or enhances
Complete documentation for McMiso
Functions, R codes and Examples using the McMiso R package
Full McMiso package functions and examples
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