| bin.sample | Bin Sample a Vector, Matrix, or Data Frame |
| boot | Bootstrap a Fit Smooth |
| coef | Extract Smooth Model Coefficients |
| color.legend | Adds Color Legend to Plot Margin |
| deviance | Smooth Model Deviance |
| diagnostic.plots | Plot Nonparametric Regression Diagnostics |
| fitted | Extract Smooth Model Fitted Values |
| gsm | Fit a Generalized Smooth Model |
| model.matrix | Construct Design Matrix for Fit Model |
| msqrt | Matrix (Inverse?) Square Root |
| NegBin | Family Function for Negative Binomial |
| nominal | Nominal Smoothing Spline Basis and Penalty |
| npreg-internals | Internal Functions for "npreg" |
| number2color | Map Numbers to Colors |
| ordinal | Ordinal Smoothing Spline Basis and Penalty |
| plotci | Generic X-Y Plotting with Confidence Intervals |
| plot.gsm | Plot Effects for Generalized Smooth Model Fits |
| plot.sm | Plot Effects for Smooth Model Fits |
| plot.ss | Plot method for Smoothing Spline Fit and Bootstrap |
| 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 |
| psolve | Pseudo-Solve a System of Equations |
| residuals | Extract Model Residuals |
| sm | Fit a Smooth Model |
| smooth.influence | Nonparametric Regression Diagnostics |
| smooth.influence.measures | Nonparametric Regression Deletion Diagnostics |
| spherical | Spherical Spline Basis and Penalty |
| ss | Fit a Smoothing Spline |
| StartupMessage | Startup Message for npreg |
| summary | Summary methods for Fit Models |
| theta.mle | MLE of Theta for Negative Binomial |
| thinplate | Thin Plate Spline Basis and Penalty |
| varimp | Variable Importance Indices |
| varinf | Variance Inflation Factors |
| vcov | Calculate Variance-Covariance Matrix for a Fitted Smooth... |
| weights | Extract Smooth Model Weights |
| wtd.mean | Weighted Arithmetic Mean |
| wtd.quantile | Weighted Quantiles |
| wtd.var | Weighted Variance and Standard Deviation |
