MM Algorithm Based on the Assembly-Decomposition Technology
MM algorithm based on AD technology for Cox model
MM algorithm based on the AD method for multivariate compound zero-inf...
MM algorithm based on AD technology for gamma frailty model
Control IC2Pro object
MM algorithm based on the AD method for case II interval-censored data
Calculate non-parametric estimate for case II interval censored surviv...
MM algorithm based on the AD method for left-truncated normal distribu...
Plot the Cox object
Plot the GaF object
Plot the IC2 object
Summary of parameter estimates of a Cox model
Summary of parameter estimates of a multivariate compound ZIGP model
Summary of parameter estimates of a gamma frailty model
Summary of parameter estimates of a IC2 model
Summary of parameter estimates of a LTN model
Summary of parameter estimates of a Type I multivariate ZIGP model
MM algorithm based on the AD method for type I multivariate zero-infla...
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>.