bf.cal.cefn: Bayes Factor Calculation Scheme for CENF prior
In INTRIGUE: Quantify and Control Reproducibility in High-Throughput Experiments
Description
Usage
Arguments
Value
Description
A function that calculates bayes factor for each data pair on each grid point
in log scale.
Usage
1
bf.cal.cefn(data, hyperparam)
Arguments
data
A dataset which is constructed by pairs of coefficient
values β and standard errors se(β).
hyperparam
A two-dimensional vector denoting all the grid points,
namely, k x ω.
Value
A list records all the log scale bayes factor values.
INTRIGUE documentation built on Nov. 8, 2020, 4:30 p.m.
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Description Usage Arguments Value
Description
A function that calculates bayes factor for each data pair on each grid point in log scale.
Usage
1 | bf.cal.cefn(data, hyperparam)
|
Arguments
data |
A dataset which is constructed by pairs of coefficient values β and standard errors se(β). |
hyperparam |
A two-dimensional vector denoting all the grid points, namely, k x ω. |
Value
A list records all the log scale bayes factor values.
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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