The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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>.
| Version: | 1.0.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | stats, grDevices, survival |
| Published: | 2023-07-08 |
| DOI: | 10.32614/CRAN.package.MMAD |
| Author: | Xifen Huang [aut], Dengge Liu [aut, cre], Yunpeng Zhou [ctb] |
| Maintainer: | Dengge Liu <dongge_adam at 126.com> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| CRAN checks: | MMAD results |
| Reference manual: | MMAD.pdf |
| Package source: | MMAD_1.0.0.tar.gz |
| Windows binaries: | r-devel: MMAD_1.0.0.zip, r-release: MMAD_1.0.0.zip, r-oldrel: MMAD_1.0.0.zip |
| macOS binaries: | r-release (arm64): MMAD_1.0.0.tgz, r-oldrel (arm64): MMAD_1.0.0.tgz, r-release (x86_64): MMAD_1.0.0.tgz, r-oldrel (x86_64): MMAD_1.0.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=MMAD to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.