mfsurv.stats: mfsurv.stats
In Nicolas-Schmidt/BayesMFSurv: Bayesian Misclassified-Failure Survival Model
Description
Usage
Arguments
Value
Description
A function to calculate the deviance information criterion (DIC) for fitted model objects of class mfsurv
for which a log-likelihood can be obtained, according to the formula DIC = -2 * (L - P),
where L is the log likelihood of the data given the posterior means of the parameter and
P is the estimate of the effective number of parameters in the model.
Usage
1
mfsurv.stats(object)
Arguments
object
an object of class mfsurv, the output of mfsurv().
Value
list.
Nicolas-Schmidt/BayesMFSurv documentation built on Sept. 12, 2020, 12:59 a.m.
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Description Usage Arguments Value
Description
A function to calculate the deviance information criterion (DIC) for fitted model objects of class mfsurv
for which a log-likelihood can be obtained, according to the formula DIC = -2 * (L - P),
where L is the log likelihood of the data given the posterior means of the parameter and
P is the estimate of the effective number of parameters in the model.
Usage
1 | mfsurv.stats(object)
|
Arguments
object |
an object of class |
Value
list.
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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