Description Usage Arguments Details Value Author(s) References
Adaption of the roast function in package limma to perform a maxT-test for parameters in multiple generalized linear models, controlling FWER for multiple contrasts.
1 | glmroastlist(glmlist, K, nrot = 9999, adjusted = TRUE)
|
glmlist |
A list with multiple glm objects, each with the same design matrix. |
K |
A contrast matrix (different contrasts in rows), with the same number of columns as number of parameters in the model |
nrot |
Number of Monte Carlo simulation steps |
adjusted |
logical, if TRUE single-step maxT FWER control is performed; if FALSE the comparison-wise error rate is controlled |
Most of the code was taken from function roast in package limma (Bioconductor).
A list with
Y |
The matrix of response variables |
X |
The design matrix |
statistic |
A matrix of test statistics |
pvalue |
A matrix of (adjusted) p-values |
B |
A matrix with contrast parameter estimates |
mrot |
A vector with simulated maxT statistics under H0 |
Daniel Gerhard
Wu, D, Lim, E, Francois Vaillant, F, Asselin-Labat, M-L, Visvader, JE, and Smyth, GK (2010). ROAST: rotation gene set tests for complex microarray experiments. Bioinformatics 26, 2176-2182.
Langsrud, O (2005). Rotation tests. Statistics and Computing 15, 53-60.
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