adjten | Adjust tensor for covariates. |
adjvec | Adjust vector for covariates. |
catch | Fit a CATCH model and predict categorical response. |
catch_matrix | Fit a CATCH model for matrix and predict categorical... |
csa | Colorimetric sensor array (CSA) data |
cvcatch | Cross-validation for CATCH |
cv.dsda | Cross validation for direct sparse discriminant analysis |
cv.msda | Cross-validation for DSDA/MSDA through function 'msda' |
cv.SeSDA | Cross validation for semiparametric sparse discriminant... |
dsda | Solution path for direct sparse discriminant analysis |
dsda.all | Direct sparse discriminant analysis |
GDS1615 | GDS1615 data introduced in Burczynski et al. (2012). |
getnorm | Direct sparse discriminant analysis |
msda | Fits a regularization path of Sparse Discriminant Analysis... |
predict.catch | Predict categorical responses for matrix/tensor data. |
predict.dsda | Prediction for direct sparse discriminant analysis |
predict.msda | Predict categorical responses for vector data. |
predict.SeSDA | Prediction for semiparametric sparse discriminant analysis |
ROAD | Solution path for regularized optimal affine discriminant |
SeSDA | Solution path for semiparametric sparse discriminant analysis |
sim.bi.vector | Simulate data |
sim.tensor.cov | Simulate data |
SOS | Solution path for sparse discriminant analysis |
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