straussR: Mixture-based Bayesian Meta-analysis
In JonasMoss/straussR: What the Package Does (One Line, Title Case)
Description
Usage
Arguments
Value
Description
straussR is used to obtain posteriors for mixture-based Bayesian
meta-analysis. Fixed effects, random effects, and meta-regressions are
supported.
Usage
1
Arguments
formula
Model formula. Should have the z values on the left
hand side and the random effects distribution on the right hand side.
priors
List of formulas. Should contain priors for all parameters
mentioned in formula.
data
An optional data frame. NOTE: Currently required.
Value
A STAN object.
JonasMoss/straussR documentation built on May 17, 2019, 7:02 p.m.
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Description Usage Arguments Value
Description
straussR is used to obtain posteriors for mixture-based Bayesian
meta-analysis. Fixed effects, random effects, and meta-regressions are
supported.
Usage
1 |
Arguments
formula |
Model formula. Should have the |
priors |
List of formulas. Should contain priors for all parameters
mentioned in |
data |
An optional data frame. NOTE: Currently required. |
Value
A STAN object.
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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