Description Usage Arguments Value References
Given the 1-DF chi-square mixture distribution, ∑_iλ_iχ_1^2(δ_i), the non-central chi-square approximation is based on moment-matching (typically higher moment). See the reference.
1 | wu.pwr(alpha, lambda, delta, N0 = 12, N1 = 6)
|
alpha |
significance level |
lambda |
vector of mixing coefficients |
delta |
vector of non-centrality parameters |
N0 |
match (N0-1,N0)-th moments for null p-value calculation |
N1 |
match (N1-1,N1)-th moments for power calculation |
estimated power
Wu,B. and Pankow,J.S. (2016) On sample size and power calculation for variant set-based association tests. /AHG/, 80(2), 136-143.
Wu,B. and Pankow,J.S. (2017) On computing the tail probability of non-negative definite quadratic forms in central normal variables. tech rep.
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