fun_estimate_DirDir_hyperparameter: Compute Dirichlet hyperparameters, using 'MLE' or 'naive'...
In lgaborini/rstanBF: rstanBF computes the Bayes Factor for data in specified two-level hierarchical models
Description
Usage
Arguments
Details
Value
View source: R/stan_BF_hyperpriors.R
Description
For the 'DirDir' model.
It computes an estimate using ML estimates of the parameters in each group.
Usage
1
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fun_estimate_DirDir_hyperparameter(
df_background,
method,
col_source = "source"
)
Arguments
df_background
dataframe with background data
method
'ML' or 'naive' (see fun_estimate_Dirichlet_from_samples())
col_source
name of the source column (default: 'source')
Details
Returns a numeric vector.
Value
a numeric vector for the estimated Dirichlet hyperparameter
lgaborini/rstanBF documentation built on March 10, 2021, 1:12 p.m.
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Description Usage Arguments Details Value
View source: R/stan_BF_hyperpriors.R
Description
For the 'DirDir' model.
It computes an estimate using ML estimates of the parameters in each group.
Usage
1 2 3 4 5 | fun_estimate_DirDir_hyperparameter(
df_background,
method,
col_source = "source"
)
|
Arguments
df_background |
dataframe with background data |
method |
|
col_source |
name of the source column (default: 'source') |
Details
Returns a numeric vector.
Value
a numeric vector for the estimated Dirichlet hyperparameter
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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