The function estimates gamma distribution based P-values from the null distribution obtained from resampling, a gamma distribution is fit to the null distribution and p-values are calculated based on that fitted distribution. Details: stats::pgamma
1 | estimateGammaPval(vals, orig, abs = TRUE, add = 0)
|
vals |
a vector or matrix of column vectors. Each column corresponds to coefficients obtained from resampling fit |
orig |
a single value or a vector of original coefficients obtained from the original matrix |
abs |
if TRUE, use absolute values of coefficients to fit a distribution |
add |
an numeric value defaults to 0. if more than 0, add that value to orig and vals. This way gamma distribution can model null distributions that have negative values. |
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