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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "MMAD" in publications use:'
type: software
license: GPL-3.0-only
title: 'MMAD: Minorization-Maximization via Assembly-Decomposition Technology'
version: 3.0.0
doi: 10.32614/CRAN.package.MMAD
abstract: A formula-driven framework for maximizing target functions via the minorization-maximization
  (MM) algorithm. The package represents the target as a symbolic expression tree,
  infers its curvature via disciplined-convex-programming rules, and constructs a
  separable surrogate at each iterate using only Jensen's inequality and the supporting
  hyperplane. The driver maximizes the surrogate via block-coordinate Newton with
  line search, falling back to a multivariate step on any non-separable residue. A
  formula interface accepts standard R expressions (including `sum()` reductions and
  `X %*% theta` design-matrix products) so statistical models such as Poisson regression
  can be written in one line.
authors:
- family-names: Huang
  given-names: Xifen
  email: xf_yellow@126.com
- family-names: Xu
  given-names: Jinfeng
  email: jinfenxu@cityu.edu.hk
- family-names: Gu
  given-names: Jiaqi
  email: jiaqigu@usf.edu
repository: https://gujq5.r-universe.dev
commit: 7a57a1be1dc89f35eaf6448417f35b93d2206ed6
date-released: '2026-05-26'
contact:
- family-names: Gu
  given-names: Jiaqi
  email: jiaqigu@usf.edu