Man pages for xspliner
Assisted Model Building, using Surrogate Black-Box Models to Train Interpretable Spline Based Additive Models
| approx_with_spline | Approximate spline on data |
| build_xspliner | Helper function for building GLM object with transformed... |
| log_msg | Helper function to print out log messages |
| plot_model_comparison | Plot models comparison |
| plot_variable_transition | Plot variable profile |
| plot.xspliner | Plot method for 'xspliner' model |
| predict.xspliner | Predict xspliner method |
| print.xspliner | Print method for xspliner object |
| stats | Statistics used for better linear model selection |
| summary.xspliner | Summary method for xspliner object |
| transition | Extract variable transformation from xspliner |
| xf_opts_default | Default parameters for transition methods |
| xspline | Builds predictive model based GLM. |
| xspliner-package | Easy way for approximating data with splines. |
