| predict.SeSDA {TULIP} | R Documentation | 
Prediction for semiparametric sparse discriminant analysis
Description
Predict the class labels by semiparametric sparse discriminant analysis.
Usage
## S3 method for class 'SeSDA'
predict(object, x.test,...)
Arguments
| object | An object returned by  | 
| x.test | An n by p matrix containing the predictors. | 
| ... | Other arguments that can be passed to  | 
Value
| pred | The the predicted class labels. | 
References
Mai, Q., Zou, H. and Yuan, M. (2013), "A direct approach to sparse discriminant analysis in ultra-high dimensions." Biometrika, 99, 29-42.
See Also
[Package TULIP version 1.0.2 Index]