Package: MMAD
Title: Minorization-Maximization via Assembly-Decomposition Technology
Version: 3.0.0
Authors@R: 
    c(person(given = "Xifen", family = "Huang", role = "aut", email = "xf_yellow@126.com"),
      person(given = "Jinfeng", family = "Xu",   role = "aut", email = "jinfenxu@cityu.edu.hk"),
      person(given = "Jiaqi",  family = "Gu",    role = c("aut", "cre"), email = "jiaqigu@usf.edu"))
Description: 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.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 2.10)
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
Config/roxygen2/version: 8.0.0
NeedsCompilation: no
Packaged: 2026-07-07 14:22:34 UTC; jiaqigu
Author: Xifen Huang [aut],
  Jinfeng Xu [aut],
  Jiaqi Gu [aut, cre]
Maintainer: Jiaqi Gu <jiaqigu@usf.edu>
Repository: CRAN
Date/Publication: 2026-07-07 15:00:02 UTC
Built: R 4.5.2; ; 2026-07-07 18:33:59 UTC; unix
