BGPHazard: BGPHazard: A package bayesian nonparametric inference in...
In BGPhazard: Markov Beta and Gamma Processes for Modeling Hazard Rates
BGPHazard R Documentation
BGPHazard: A package bayesian nonparametric inference in survival analysis.
Description
The BGPHazard package provides three categories of important functions:
simulating, diagnostic and result.
Simulating functions
The simulating functions are used to make posterior inference for the bayesian survival
semiparametric models as described by
Nieto-Barajas and Walker (2002), Nieto-Barajas (2003) and Nieto-Barajas, L. E., & Yin, G. (2008)
Diagnostic functions
The diagnostic functions are used to make convergence diagnosics plots about the simulations of the parameters/variables.
Result functions
The result functions are used to produce estimators plots of the hazard function
along with the survival function defined by the model.
BGPhazard documentation built on Sept. 3, 2023, 5:09 p.m.
R Package Documentation
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| BGPHazard | R Documentation |
BGPHazard: A package bayesian nonparametric inference in survival analysis.
Description
The BGPHazard package provides three categories of important functions: simulating, diagnostic and result.
Simulating functions
The simulating functions are used to make posterior inference for the bayesian survival semiparametric models as described by Nieto-Barajas and Walker (2002), Nieto-Barajas (2003) and Nieto-Barajas, L. E., & Yin, G. (2008)
Diagnostic functions
The diagnostic functions are used to make convergence diagnosics plots about the simulations of the parameters/variables.
Result functions
The result functions are used to produce estimators plots of the hazard function along with the survival function defined by the model.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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