Class for the object returned by positiveFusedLasso()
Y
A list containing the original minor, major and total copy number signals.
Zt
A list containing the (final) minor, major and total copy number
estimates for the latent features, as inferred by
positiveFusedLasso()
.
Z0t
idem for the initial estimates.
W
A matrix containing weights inferred by positiveFusedLasso()
.
mu
A list containing the intercept vectors inferred by
positiveFusedLasso()
.
E
A list containing estimates of minor copy number and major copy
number inferred by positiveFusedLasso()
.
params
A numeric vector, the input parameters.
failure
A logical value indicating whether the estimation worked or failed (because of the non-invertibility of W^tW).
converged,iterations
Did the model fit converge and how many iterations did it run?
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