cumulative_bayes_factor: Calculating cumulative Bayes factors
In marton-balazs-kovacs/tppr: Shiny app to show real-time results of the TPP project
Description
Usage
Arguments
Value
Examples
Description
This function calculates the cumulative Bayes factors
with three priors. The output of this function is used for
plot_confirmatory as an input. The function
can accept a dataframe that is already only containing the
cumulative success variable cumulative_success,
or a raw dataframe.
Usage
1
Arguments
df
dataframe, the input dataframe
Value
The function returns a wide formatted dataframe with
the number of trials, and the Bayes factors with the three different
trials.
Examples
1
2
# Calculate the cumulative Bayes factors
cumulative_results <- cumulative_bayes_factor(df = example_m0)
marton-balazs-kovacs/tppr documentation built on Oct. 27, 2021, 3:04 p.m.
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Description Usage Arguments Value Examples
Description
This function calculates the cumulative Bayes factors
with three priors. The output of this function is used for
plot_confirmatory as an input. The function
can accept a dataframe that is already only containing the
cumulative success variable cumulative_success,
or a raw dataframe.
Usage
1 |
Arguments
df |
dataframe, the input dataframe |
Value
The function returns a wide formatted dataframe with the number of trials, and the Bayes factors with the three different trials.
Examples
1 2 | # Calculate the cumulative Bayes factors
cumulative_results <- cumulative_bayes_factor(df = example_m0)
|
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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