Package: McMiso
Type: Package
Title: Multicore Multivariable Isotonic Regression
Version: 0.1.2
Authors@R: person("Cheung", "Ken", email = "yc632@cumc.columbia.edu", role = c("aut", "cre"))
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>.  
Depends: R (>= 4.0.0)
Imports: dplyr, future (>= 1.33.0), stats
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.3.2
NeedsCompilation: no
Packaged: 2025-11-18 15:48:18 UTC; yingkuencheung
Author: Cheung Ken [aut, cre]
Maintainer: Cheung Ken <yc632@cumc.columbia.edu>
Repository: CRAN
Date/Publication: 2025-11-21 15:40:08 UTC
Built: R 4.6.0; ; 2025-12-02 01:00:18 UTC; windows
