neighborhood.net | R Documentation |
Select a sparse inverse covariance matrix using neighborhood selection and glmnet from various exponential models.
neighborhood.net(data, lambda, method = "ising", ncores = 1, sym = "or", ...)
data |
n x p input (pre-transformed) data |
lambda |
the lambda path |
method |
ising and poisson models currently supported. |
ncores |
number of cores for distributing the model fitting |
sym |
symmetrize the neighborhood using the 'or' (default)/'and' rule |
... |
further arguments to glmnet |
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