Description Usage Arguments Value References Examples
Spase Quadratic Discriminant Analysis
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train.data |
data matrix with column names being the class labels and row names being the genes. |
test.data |
the new data needs to be predicted. |
len |
block size |
lams |
a sequence of |
presel |
pre-selection indicator. |
prelam |
pre-selection sparisty parameter, only used when presel=T. |
margin |
error margin for pre-selection, only used when presel=T. |
returns a list object with following items.
pred |
predictions for class labels on the test.data |
p |
the number of blocks selected |
The application of sparse estimation of covariance matrix to quadratic discriminant analysis. Jiehuan Sun and Hongyu Zhao.
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[1] 0
[1] 1
[1] "IPF" "IPF" "IPF" "IPF" "IPF" "IPF" "IPF" "IPF"
[9] "IPF" "IPF" "IPF" "IPF" "IPF" "IPF" "IPF" "IPF"
[17] "IPF" "IPF" "IPF" "IPF" "IPF" "IPF" "IPF" "IPF"
[25] "IPF" "IPF" "IPF" "IPF" "IPF" "IPF" "IPF" "IPF"
[33] "IPF" "IPF" "IPF" "IPF" "IPF" "IPF" "IPF" "IPF"
[41] "IPF" "IPF" "IPF" "IPF" "IPF" "IPF" "IPF" "IPF"
[49] "IPF" "IPF" "normal" "normal" "normal" "normal" "normal" "normal"
[57] "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal"
[65] "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal"
[73] "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal"
[81] "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal"
[89] "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal"
[97] "normal" "normal" "normal" "normal"
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