Description Usage Arguments Value See Also
When initially choosing tuning penalties, it can be
challenging to find the appropriate scale. This function fits either
spacemap
or space
once for a specified
tuning grid on the whole data. It reports the corresponding number of
y-y edges and x-y edges for each tuning penalty set.
Having a prior understanding of how sparse the network ought to
be can help narrow the scale of the tuning grid
based on the output of this function.
1 2 |
Y |
Numeric matrix (N \times Q) containing N iid samples of the response vector \textbf{y}. |
X |
Numeric matrix (N \times P) containing N iid samples of the predictor vector \textbf{x}. |
tuneGrid |
Named with columns |
method |
Character vector indicates network inference with function
|
iscale |
Logical indicating to standardize the whole input data. Defaults to TRUE.
See |
aszero |
Positive numeric value (defaults to 1e-6) indicating at what point to consider extremely small parameter estimates of Γ and ρ as zero. |
... |
Additional arguments for |
If method=="spacemap"
or (method=="space"
and X!=NULL
),
return a data.frame where the first column nyy
reports the
number of y-y edges and the second column nxy
reports
the number of x-y edges. Rows of the data.frame correspond to
the input parameter tuneGrid
.
If method=="space"
and X==NULL
, return a vector
of the number of y-y edges.
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