survmedian: The median of the surivival functions generated by LIO prior
In DPWeibull: Dirichlet Process Weibull Mixture Model for Survival Data
Description
This data set gives the median of 20000 random survival functions generated by our LIO prior on a 0 to 10 scale. This data set is primarily used for determining scale parameter when heavy end-of-study censoring is present.
Source
Shi,Y. and Martens,M. and Banerjee,A. and Laud,P. (2017) Low Information Omnibus Priors for Dirichlet Process Mixture Models(Manuscript)
DPWeibull documentation built on Dec. 13, 2021, 1:07 a.m.
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Description
This data set gives the median of 20000 random survival functions generated by our LIO prior on a 0 to 10 scale. This data set is primarily used for determining scale parameter when heavy end-of-study censoring is present.
Source
Shi,Y. and Martens,M. and Banerjee,A. and Laud,P. (2017) Low Information Omnibus Priors for Dirichlet Process Mixture Models(Manuscript)
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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