Description Usage Arguments Author(s)
RUV4's second step.
1 2 3 4 5 6 7 8 9 10 | cruv4_multicov(
Y2,
alpha,
sig_diag,
ctl,
R22,
degrees_freedom,
gls = TRUE,
likelihood = "t"
)
|
Y2 |
A matrix of numerics with p rows and q columns, where q is the number of covariates of interest and p is the number of genes. |
alpha |
A matrix of numerics of dimension p by k, where k is the number of hidden confounders. The estimated coefficients of the unobserved confounders. |
sig_diag |
A vector of positive numerics. The estimates of the variances. |
ctl |
A vector of logicals of length |
R22 |
A matrix of numerics numeric. This is the submatrix of the R in the QR decomposition of X that corresponds to the covariates of interest. May be removed in the future. |
degrees_freedom |
A positive numeric. The degrees of freedom of the t-likelihood if using it. |
gls |
A logical. Should we use generalized least squares
( |
likelihood |
Either |
David Gerard
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