build_predicted_results | Save prediction results in a predefined folder |
CCC_func | CCC function |
comb | Function to combine the results of the parallel random split... |
compute_active_sizes | Function to compute the active size for each lambda |
compute_mean | Function to compute the mean |
compute_slope_and_intercept | this function compute slope a and intercept b for the... |
evaluating_model | Evaluating QSAR regression model |
filter_dataset | A function to filter dataset |
filter_metric_models | Filter models |
hat_matrix | A function to compute hat matrix |
hqsar | Random split for glmnet |
lambda.grid | Function to compute the lambda grid values |
plot_MD_GE_graph | Create molecular descriptors and MoA features interaction... |
plot.RCVLasso | Function to plot the results of the random split cross... |
plot_wp | Plot williams Plot |
Q2F1_func | Q2F1 function |
Q2F2_func | Q2F2 function |
Q2F3_func | Q2F3 function |
R2_func | R2 function |
random_split_Y_scramble | Function to compute the scrambled R2 and Q2 |
RCVLassoPar | Function to perform the random split analysis |
stacking_regression_wrapper | Function to create a minimal stacking model |
stacking_regressor | Function to create the stacking model |
tqsar | Random split for glmnet |
training_test_split | Function to create train/test split |
transform_data | Transform data matrix function |
validation_metrics | Function to compute the Q2, CCC, Q2F1, Q2F2, Q2F3, and rm2... |
validation_metrics_linear | Function to compute the Q2, CCC, Q2F1, Q2F2, Q2F3, and rm2... |
williams_plot | A function to create the williams plot and compute the... |
williams_plot_linear | A function to create the williams plot and compute the... |
Y_scrambled_mse | Function to compute the scrambled MSE |
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