simpleDecomp | R Documentation |
Main PLIER function
simpleDecomp(
Y,
k,
svdres = NULL,
L1 = NULL,
L2 = NULL,
max.iter = 200,
tol = 5e-06,
trace = F,
rseed = NULL,
B = NULL,
scale = 1,
adaptive.frac = 0.05,
adaptive.iter = 30
)
k |
The number of latent variables to return, leave as NULL to be set automatically using the num.pc "elbow" method |
svdres |
Pre-computed result of the svd decomposition for data. |
L1 |
L1 constant, leave as NULL to automatically select a value. |
L2 |
L2 constant, leave as NULL to automatically select a value. |
max.iter |
maximum number of iterations, default is 200. |
tol |
tolerance for relative B change, default is 5e-6. |
trace |
print out trace info, default is false. |
rseed |
seed for RSVD call. If svdres us given this has no effect. |
adaptive.frac |
the probability cutoff to use to determine the positive cutoff for loading. Smaller values will return sparser models. |
adaptive.iter |
the first iteration where adaptive constants are computed, before they are all 0. |
data |
the data to be processed with genes in rows and samples in columns. Should be z-scored. |
scaleL |
scale both L1 and L2 by this amount from the default setting. Values less then 1 imply weaker regularization. |
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