AF_combine: AF Combination
In cxystat/AFb: B-spline Based Adaptive Fisher Method

Description Usage Arguments Value Examples

This function combines P-values using Adaptive Fisher (AF) method.

1	AF_combine(p, log = FALSE, weight = NULL, n0 = 1)

`p`	P-values to be combined. A matrix with dimensions `K` by `N`. If an object of P-values from perm_score is used, `N` is the number of permutations plus 1.
`log`	Indicator of whether P-values are on the log scale.
`weight`	Weights given to the P-values. A vector with dimension `K`. Constant weights are used if it is not specified.
`n0`	Tuning parameter. Discard the first `n0-1` P-values of each sample.

A list object.

pv: P-value of AF test.
stat: AF statistic.
indexes: Indexes of P-values combined into the test statistic. Indexes are sorted so that P-values are in ascending order.
stat_all: AF statistics for all permuted samples.
pv_all: P-values of AF statistics for all permuted samples.

# Combine P-values of normally distributed test statistics
U <- matrix(rnorm(10 * 100), ncol=100)
p <- 2 * (1 - pnorm(abs(U)))
wt <- (1:10)/55
test <- AF_combine(p, weight = wt)