GPD Permutation Test | R Documentation |
Implementation of the GPD-based p-value estimation algorithm
gpd_permutation_test(
x0,
y,
minM_epdf = 10,
Nexc = 250,
Nexc_shrink = 10,
Nexc_alpha = 0.05,
yfun,
ystart = 200,
ygrow = 100,
ymax = 5000
)
x0 |
an input vector of values |
y |
an input vector of values |
minM_epdf |
a minimumn number of iterations for EPDF |
Nexc |
a number of permution to performe in each step default 250 |
Nexc_shrink |
default 10 |
Nexc_alpha |
default 0.05 |
yfun |
default |
ystart |
default 200 |
ygrow |
default 100 |
ymax |
default 5000 |
a 'pvalue'
Implementation of the GPD-based p-value estimation algorithm from Knijnenburg, Wessels, Reinders, and Shmulevich (2009) Fewer permutations, more accurate P-values. Bioinformatics 25(12): i161–i168. DOI: 10.1093/bioinformatics/btp211 Implemented by Jason Lloyd-Price and Ali Rahnavard
gpd_permutation_test(x, y)
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