Description Usage Arguments Value References
View source: R/pCorShrinkData2.R
This function performs adaptive shrinkage of a matrix of
partial correlations using a similar model as CorShrinkMatrix
, but
with the option of being aided by bagging on the data matrix.
1 2 3 |
data |
The samples by features data matrix. May contain NA values. |
type |
The type of bagging method used, if at all, for estimating the
partial corelation matrix. The three possible types are -
|
nbags |
If |
nboot |
The number of bootstrap samples used to compute the bootstrap
standard errors of the partial correlations used for shrinking
in |
thresh_up |
Upper threshold for correlations in |
thresh_down |
Lower threshold for correlations in |
tol |
The tolerance chosen to check how far apart the CorShrink matrix is from the nearest positive definite matrix before applying PD completion. |
report_model |
if TRUE, outputs the full adaptive shrinkage output, else outputs the shrunken vector. Defaults to FALSE. |
ash.control |
The control parameters for adaptive shrinkage |
If report_model = FALSE
, returns the adaptively shrunk
partial correlation matrix. If report_model = TRUE
, then the
function also returns all the details of the adaptive shrinkage model
output.
False Discovery Rates: A New Deal. Matthew Stephens bioRxiv 038216; doi: http://dx.doi.org/10.1101/038216
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