# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "McMiso" in publications use:'
type: software
license: GPL-3.0-only
title: 'McMiso: Multicore Multivariable Isotonic Regression'
version: 0.2.0
doi: 10.32614/CRAN.package.McMiso
abstract: Provides functions for isotonic regression and classification when there
  are multiple independent variables. The functions solve the optimization problem
  using a projective Bayes approach with recursive sequential update algorithms, and
  are useful for situations with a relatively large number of covariates. Supports
  binary outcomes via a Beta-Binomial conjugate model ('miso', 'PBclassifier') and
  continuous outcomes via a Normal-Inverse-Chi-Squared conjugate model ('misoN').
  Parallel computing wrappers ('mcmiso', 'mcPBclassifier', 'mcmisoN') are provided
  that run the down-up and up-down algorithms simultaneously and return whichever
  finishes first. The estimation method follows the projective Bayes solution described
  in Cheung and Diaz (2023) <https://doi.org/10.1093/jrsssb/qkad014>.
authors:
- family-names: Ken
  given-names: Cheung
  email: yc632@cumc.columbia.edu
repository: https://kencheung2.r-universe.dev
commit: 1d34da1fc530493e47caf8d543c797df23f1f879
date-released: '2026-04-03'
contact:
- family-names: Ken
  given-names: Cheung
  email: yc632@cumc.columbia.edu