MMAD
MM Algorithm Based on the Assembly-Decomposition Technology
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.
- Version1.0.0
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?No
- Tian, Huang and Xu (2019)
- Huang, Xu and Tian (2019)
- Zhang and Huang (2022)
- Last release07/08/2023
Team
Dengge Liu
Yunpeng Zhou
Show author detailsRolesContributorXifen Huang
Show author detailsRolesAuthor
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