| predict_cpop | R Documentation | 
Prediction function for CPOP
predict_cpop(cpop_result, newx, s = "lambda.min", newz)
cpop_result | 
 cpop_model result  | 
newx | 
 New data, n times p, as original features,  | 
s | 
 CV-Lasso lambda  | 
newz | 
 (Deprecated) new data, n times choose(p, 2), as ratio features.  | 
A vector
data(cpop_data_binary, package = 'CPOP') ## Loading simulated matrices and vectors x1 = cpop_data_binary$x1 x2 = cpop_data_binary$x2 x3 = cpop_data_binary$x3 y1 = cpop_data_binary$y1 y2 = cpop_data_binary$y2 y3 = cpop_data_binary$y3 set.seed(1) cpop_result = cpop_model(x1 = x1, x2 = x2, y1 = y1, y2 = y2, alpha = 0.1, n_features = 10) cpop_result head(predict_cpop(cpop_result, newx = x3))
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