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Applies the 'lbf_to_alpha_vector' function row-wise to a matrix of log Bayes factors to convert them to Single Effect PIP values.

Source: R/susie_wrapper.R
lbf_to_alpha.Rd

Applies the 'lbf_to_alpha_vector' function row-wise to a matrix of log Bayes factors to convert them to Single Effect PIP values.

Usage

lbf_to_alpha(lbf)

Arguments

lbf

Matrix of log Bayes factors.

Value

A matrix of alpha values with the same dimensions as the input LBF matrix.

Examples

lbf_matrix <- matrix(c(-0.5, 1.2, 0.3, 0.7, -1.1, 0.4), nrow = 2)
alpha_matrix <- lbf_to_alpha(lbf_matrix)
print(alpha_matrix)
#>           [,1]      [,2]      [,3]
#> [1,] 0.2649461 0.5896484 0.1454055
#> [2,] 0.4864145 0.2950253 0.2185601