Description Usage Arguments Details Value Author(s) References
Compute score test statistics.
1 | compute_stat(Y, K_int, y_fixed, K0, sigma2_hat, tau_hat)
|
Y |
(matrix, n*1) The vector of response variable. |
K_int |
(matrix, n*n) The kernel matrix to be tested. |
y_fixed |
(vector of length n) Estimated fixed effect of the response. |
sigma2_hat |
(numeric) The estimated noise of the fixed effect. |
tau_hat |
(numeric) The estimated noise of the kernel effect. |
K_0 |
(matrix, n*n) Estimated ensemble kernel matrix. |
The test statistic is distributed as a scaled Chi-squared distribution.
test_stat |
(numeric) The computed test statistic. |
Wenying Deng
Arnab Maity and Xihong Lin. Powerful tests for detecting a gene effect in the presence of possible gene-gene interactions using garrote kernel machines. December 2011.
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