Man pages for jlaria/glasp
Group Linear Algorithm with Sparse Principal decomposition
| binary_cross_entropy | Binary cross-entropy loss |
| cox_regression | Fit a 'cox_regression' |
| glasp_classification | parsnip interface for GLASP - Classification Models |
| glasp_cox | parsnip interface for GLASP - Cox Models |
| glasp-package | glasp: Group Linear Algorithm with Sparse Principal... |
| glasp_regression | parsnip interface for GLASP - Regression Models |
| linear_regression | Fit a 'linear_regression' |
| logistic_regression | Fit a 'logistic_regression' |
| mean_squared_error | Mean squared error |
| predict.cox_regression | Predict from a 'cox_regression' |
| predict.linear_regression | Predict from a 'linear_regression' |
| predict.logistic_regression | Predict from a 'logistic_regression' |
| simulate_CEN_logistic_data | Simulate classification data with groups |
| simulate_CEN_surv_data | Simulate survival data with groups |
| simulate_dummy_linear_data | Simulate toy linear data for benchmark |
| simulate_dummy_logistic_data | Simulate toy logistic data for benchmark |
| simulate_dummy_surv_data | Simulate toy survival data for benchmark |
