bhlm.MAP: Maximum a posteriori
In arcuo/bachelors_meta: Bayesian Hierarchical Latent Mixture model meta analysis and plots.
Description
Usage
Arguments
Author(s)
Description
Create a dataframe with outcome names, and maximum posteriori for each outcome.
You can choose the density estimation method (polspline::logspline or base::density).
Usage
1
2
Arguments
bhlm_object
Object returned from bhlm, of class bhlm_object.
outcome_options
Character vector specifying which outcomes should be plotted.
Defaults to all outcome options from bhlm_object@outcome_options.
density.estimate
Choose between polspline::logspline or base::density for density estimation method.
Author(s)
Hugh Benjamin Zachariae
arcuo/bachelors_meta documentation built on May 5, 2019, 2:41 a.m.
R Package Documentation
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Description Usage Arguments Author(s)
Description
Create a dataframe with outcome names, and maximum posteriori for each outcome.
You can choose the density estimation method (polspline::logspline or base::density).
Usage
1 2 |
Arguments
bhlm_object |
Object returned from |
outcome_options |
Character vector specifying which outcomes should be plotted.
Defaults to all outcome options from |
density.estimate |
Choose between |
Author(s)
Hugh Benjamin Zachariae
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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