The extended dgCMatrix class for output from coef.dmr.
Arguments
Objects from the Class
Objects can be created only by a call to the coef.dmr function.
Slots
i:
From dgCMatrix: the row indices.
p:
From dgCMatrix: the column pointers.
Dim:
From dgCMatrix: the dimensions.
Dimnames:
From dgCMatrix: the list of labels.
x:
From dgCMatrix: the nonzero entries.
factors:
From dgCMatrix.
Extends
Class '>dgCMatrix, directly.
Methods
predict
signature(object = "dmrcoef"):
Prediction for a given dmrcoef matrix. Takes the same arguments as predict.dmr, but will be faster (since coef.dmr is called inside predict.dmr).
Details
This is the class for a covariate matrix from dmr regression; it inherits the dgCMatrix class as defined in the Matrix library.
In particular, this is the ncol(covars) by ncol(counts) matrix of logistic regression coefficients chosen in coef.dmr from the regularization paths for each category.