Package: MMAD
Type: Package
Title: MM Algorithm Based on the Assembly-Decomposition Technology
Version: 1.0.0
Authors@R: c(person(given = "Xifen",
                    family = "Huang",
                    role = c("aut"),
                    email = "xf_yellow@126.com"),
             person(given = "Dengge",
                    family = "Liu",
                    role = c("aut", "cre"),
                    email = "dongge_adam@126.com"),
             person(given = "Yunpeng",
                    family = "Zhou",
                    role = c("ctb")))
Maintainer: Dengge Liu <dongge_adam@126.com>
Description: The Minorize-Maximization(MM) algorithm based on Assembly-Decomposition(AD) technology can be used for model estimation of parametric models, semi-parametric models and non-parametric models. We selected parametric models including left truncated normal distribution, type I multivariate zero-inflated generalized poisson distribution and multivariate compound zero-inflated generalized poisson distribution; semiparametric models include Cox model and gamma frailty model; nonparametric model is estimated for type II interval-censored data. These general methods are proposed based on the following papers,
    Tian, Huang and Xu (2019) <doi:10.5705/SS.202016.0488>,
    Huang, Xu and Tian (2019) <doi:10.5705/ss.202016.0516>,
    Zhang and Huang (2022) <doi:10.1117/12.2642737>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.3
Imports: stats, grDevices, survival
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2023-07-08 06:53:07 UTC; Administrator
Author: Xifen Huang [aut],
  Dengge Liu [aut, cre],
  Yunpeng Zhou [ctb]
Repository: CRAN
Date/Publication: 2023-07-08 17:40:12 UTC
Built: R 4.6.0; ; 2025-08-18 07:42:58 UTC; unix
