| basis.nom | Nominal Smoothing Spline Basis and Penalty |
| basis.ord | Ordinal Smoothing Spline Basis and Penalty |
| basis.poly | Polynomial Smoothing Spline Basis and Penalty |
| basis.sph | Spherical Spline Basis and Penalty |
| basis.tps | Thin Plate Spline Basis and Penalty |
| basis_nom | Nominal Smoothing Spline Basis and Penalty |
| basis_ord | Ordinal Smoothing Spline Basis and Penalty |
| basis_poly | Polynomial Smoothing Spline Basis and Penalty |
| basis_sph | Spherical Spline Basis and Penalty |
| basis_tps | Thin Plate Spline Basis and Penalty |
| bin.sample | Bin Sample a Vector, Matrix, or Data Frame |
| boot | Bootstrap a Fit Smooth |
| boot.gsm | Bootstrap a Fit Smooth |
| boot.sm | Bootstrap a Fit Smooth |
| boot.ss | Bootstrap a Fit Smooth |
| fitted.gsm | Extract Model Fitted Values |
| fitted.sm | Extract Model Fitted Values |
| fitted.ss | Extract Model Fitted Values |
| fitted.values.gsm | Extract Model Fitted Values |
| fitted.values.sm | Extract Model Fitted Values |
| fitted.values.ss | Extract Model Fitted Values |
| gsm | Fit a Generalized Smooth Model |
| model.matrix.gsm | Construct Design Matrix for Fit Model |
| model.matrix.sm | Construct Design Matrix for Fit Model |
| model.matrix.ss | Construct Design Matrix for Fit Model |
| msqrt | Matrix (Inverse?) Square Root |
| NegBin | Family Function for Negative Binomial |
| nominal | Nominal Smoothing Spline Basis and Penalty |
| number2color | Map Numbers to Colors |
| ordinal | Ordinal Smoothing Spline Basis and Penalty |
| penalty.nom | Nominal Smoothing Spline Basis and Penalty |
| penalty.ord | Ordinal Smoothing Spline Basis and Penalty |
| penalty.poly | Polynomial Smoothing Spline Basis and Penalty |
| penalty.sph | Spherical Spline Basis and Penalty |
| penalty.tps | Thin Plate Spline Basis and Penalty |
| penalty_nom | Nominal Smoothing Spline Basis and Penalty |
| penalty_ord | Ordinal Smoothing Spline Basis and Penalty |
| penalty_poly | Polynomial Smoothing Spline Basis and Penalty |
| penalty_sph | Spherical Spline Basis and Penalty |
| penalty_tps | Thin Plate Spline Basis and Penalty |
| plot.boot.ss | Plot method for Smoothing Spline Fit and Bootstrap |
| plot.ss | Plot method for Smoothing Spline Fit and Bootstrap |
| plotci | Generic X-Y Plotting with Confidence Intervals |
| polynomial | Polynomial Smoothing Spline Basis and Penalty |
| predict.gsm | Predict method for Generalized Smooth Model Fits |
| predict.sm | Predict method for Smooth Model Fits |
| predict.ss | Predict method for Smoothing Spline Fits |
| print.summary.gsm | Summary methods for Fit Models |
| print.summary.sm | Summary methods for Fit Models |
| print.summary.ss | Summary methods for Fit Models |
| psolve | Pseudo-Solve a System of Equations |
| resid.gsm | Extract Model Residuals |
| resid.sm | Extract Model Residuals |
| resid.ss | Extract Model Residuals |
| residuals.gsm | Extract Model Residuals |
| residuals.sm | Extract Model Residuals |
| residuals.ss | Extract Model Residuals |
| sm | Fit a Smooth Model |
| spherical | Spherical Spline Basis and Penalty |
| ss | Fit a Smoothing Spline |
| summary | Summary methods for Fit Models |
| summary.gsm | Summary methods for Fit Models |
| summary.sm | Summary methods for Fit Models |
| summary.ss | Summary methods for Fit Models |
| theta.mle | MLE of Theta for Negative Binomial |
| thinplate | Thin Plate Spline Basis and Penalty |
| varimp | Variable Importance |
| wtd.mean | Weighted Arithmetic Mean |
| wtd.quantile | Weighted Quantiles |
| wtd.sd | Weighted Variance and Standard Deviation |
| wtd.var | Weighted Variance and Standard Deviation |