get_posteriors: Apply Bayes Rule to get posterior predictions
In JanvandenBrand/jmmm: High Dimensional Joint Models
get_posteriors R Documentation
Apply Bayes Rule to get posterior predictions
Description
Use the posteriors for failures and non-failure to get predictions with Bayes Rule
Usage
get_posteriors(f_fail, f_nofail, prior)
Arguments
f_fail
density for the failures at landmarks upto horizon.
f_nofail
density for the non-failures up to horizon.
prior
the priors returned by get_priors.
Value
: a list with posterior predictions at every landmark
JanvandenBrand/jmmm documentation built on May 30, 2022, 9:37 a.m.
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| get_posteriors | R Documentation |
Apply Bayes Rule to get posterior predictions
Description
Use the posteriors for failures and non-failure to get predictions with Bayes Rule
Usage
get_posteriors(f_fail, f_nofail, prior)
Arguments
f_fail |
density for the failures at landmarks upto horizon. |
f_nofail |
density for the non-failures up to horizon. |
prior |
the priors returned by get_priors. |
Value
: a list with posterior predictions at every landmark
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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