aenet |
Adaptive Elastic-Net |
amnet |
Adaptive MCP-Net |
asnet |
Adaptive SCAD-Net |
coef.msaenet |
Extract Model Coefficients |
msaenet |
Multi-Step Adaptive Elastic-Net |
msaenet.fn |
Get the Number of False Negative Selections |
msaenet.fp |
Get the Number of False Positive Selections |
msaenet.mae |
Mean Absolute Error (MAE) |
msaenet.mse |
Mean Squared Error (MSE) |
msaenet.nzv |
Get Indices of Non-Zero Variables |
msaenet.nzv.all |
Get Indices of Non-Zero Variables in All Steps |
msaenet.rmse |
Root Mean Squared Error (RMSE) |
msaenet.rmsle |
Root Mean Squared Logarithmic Error (RMSLE) |
msaenet.sim.binomial |
Generate Simulation Data for Benchmarking Sparse Regressions (Binomial Response) |
msaenet.sim.cox |
Generate Simulation Data for Benchmarking Sparse Regressions (Cox Model) |
msaenet.sim.gaussian |
Generate Simulation Data for Benchmarking Sparse Regressions (Gaussian Response) |
msaenet.sim.poisson |
Generate Simulation Data for Benchmarking Sparse Regressions (Poisson Response) |
msaenet.tp |
Get the Number of True Positive Selections |
msamnet |
Multi-Step Adaptive MCP-Net |
msasnet |
Multi-Step Adaptive SCAD-Net |
plot.msaenet |
Plot msaenet Model Objects |
predict.msaenet |
Make Predictions from an msaenet Model |
print.msaenet |
Print msaenet Model Information |