compute_BFCS: Function for computing the Bayes Factors of Covariance...
In igbucur/BFCS: Bayes Factors for Covariance Structures
Description
Usage
Arguments
Value
Examples
View source: R/compute_BFCS_vectorized.R
Description
Function for computing the Bayes Factors of Covariance Structures for a
three-variable causal model.
Usage
1
compute_BFCS(corr, num_samples)
Arguments
corr
Numeric 3x3 correlation matrix.
num_samples
Integer number of samples.
Value
A vector containing the Bayes factor of all the eleven possible
conditional independence models on three variables relative to the fully
connected model.
Examples
1
compute_BFCS(diag(3), 100)
igbucur/BFCS documentation built on Oct. 20, 2020, 7:39 a.m.
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Description Usage Arguments Value Examples
View source: R/compute_BFCS_vectorized.R
Description
Function for computing the Bayes Factors of Covariance Structures for a three-variable causal model.
Usage
1 | compute_BFCS(corr, num_samples)
|
Arguments
corr |
Numeric 3x3 correlation matrix. |
num_samples |
Integer number of samples. |
Value
A vector containing the Bayes factor of all the eleven possible conditional independence models on three variables relative to the fully connected model.
Examples
1 | compute_BFCS(diag(3), 100)
|
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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