| acid | Lake Acidity Study |
| alogit | Calculate the Inverse Logit Transformation |
| anova.ssr | Testing a Non-parametric Function Fitted via Smoothing Splines |
| Arosa | Monthly Mean Ozone Thickness in Arosa of Switzerland |
| bdiag | Construct a Block Diagonal Matrix |
| bond | Treasury and GE bonds |
| canadaTemp | Monthly Mean Temperatures |
| chickenpox | Chickenpox in New York City |
| chol.new | A Modified Cholesky Decomposition |
| climate | Winter Average Temperatures |
| cubic | Calculate Reproducing Kernels for Polynomial Splines on [0, 1] |
| cubic2 | Calculate Reproducing Kernels for Polynomial Splines on [0, T] |
| dcrdr | Interface to Fortran Subroutine dcrdr |
| deviance.ssr | Model Deviance |
| dmudr | Interface of dmudr subroutine in RKPACK |
| dog | Coronary Ainus Potassium Concentrations |
| dsidr | Interface of dsidr subroutines in RKPACK |
| dsms | Interface to Fortran Subroutine dsms |
| gdmudr | Interface of dbmdr, dbimdr, dgmdr, dpmdr in GRKPACK. |
| gdsidr | Interface of dbsdr, dbisdr, dgsdr, dpsdr in GRKPACK. |
| hat.ssr | Extract the Hat Matrix from a ssr Object |
| horm.cort | Hormone Measurements of Cortisol |
| ident | Scaling a Vector |
| inc | Fit a Monotone Curve Using a Cubic Spline |
| intervals.nnr | Calculate Predictions and Approximate Posterior Standard Deviations for Spline Estimates From a nnr Object |
| intervals.slm | Calculate Predictions and Posterior Standard Deviations of Spline Estimates From a slm Object |
| intervals.snm | Calculate Predictions and Approximate Posterior Standard Deviations for Spline Estimate From a snm Object |
| intervals.snr | Calculate Predictions and Approximate Posterior Standard Deviations for Spline Estimates From a snr Object |
| kron | Calculate reproducing kernels for one-dimensional space |
| linear | Calculate Reproducing Kernels for Polynomial Splines on [0, 1] |
| linear2 | Calculate Reproducing Kernels for Polynomial Splines on [0, T] |
| lspline | Calculate Reproducing Kernels for Some L-splines |
| nnr | Nonlinear Non-parametric Regression |
| nnr.control | Set Control Parameters for nnr |
| paramecium | Growth of paramecium caudatum population |
| periodic | Calculate Reproducing Kernels for Periodic Polynomial Splines with Period 1 |
| plot.bCI | Bayesian Confidence Interval Plot of a Smoothing Spline Fit |
| plot.ssr | Generate Diagnostic Plots for a ssr Object |
| predict.slm | Predict Method for Semiparametric Linear Mixed Effects Model Fits |
| predict.snm | Predictions from a Semiparametric Nonlinear Mixed Effects Model Fit |
| predict.snr | Predict Method from a Semiparametric Nonlinear Regression Model Fit |
| predict.ssr | Calculate Predictions and Posterior Standard Deviations for a ssr Object |
| print.anova.ssr | Print an anova.ssr Object |
| print.nnr | Print Values |
| print.slm | Print Values |
| print.snm | Print Values |
| print.snr | Print Values |
| print.ssr | Print Values |
| print.summary.nnr | Print Vales |
| print.summary.slm | Print Values |
| print.summary.snm | Print Values |
| print.summary.snr | Print Values |
| print.summary.ssr | Print Values |
| quintic | Calculate Reproducing Kernels for Polynomial Splines on [0, 1] |
| quintic2 | Calculate Reproducing Kernels for Polynomial Splines on [0, T] |
| rk.prod | Calculate product of reproducing kernels |
| seizure | IEEG segments from a seizure patient |
| septic | Calculate Reproducing Kernels for Polynomial Splines on [0, 1] |
| septic2 | Calculate Reproducing Kernels for Polynomial Splines on [0, T] |
| shrink0 | Calculate reproducing kernels for Stein shrinkage estimate |
| shrink1 | Calculate reproducing kernels for Stein shrinkage estimate |
| sine4p | Calculate Reproducing Kernels for Periodic L-Splines with Period 1/2 |
| slm | Fit a Semi-parametric Linear Mixed Effects Model |
| snm | Fit a Semi-parametric Nonlinear Mixed-effects Model |
| snm.control | Set Control Parameters for snm |
| snr | Fit A Semi-parametric Nonlinear Regression Model |
| snr.control | Set Control Parameters for snr |
| sphere | Calculate Pseudo Reproducing Kernels for Spherical Splines |
| ssr | Fit a General Smoothing Spline Regression Model |
| ssr.control | Set Control Parameters for 'ssr' |
| ssr.object | A fitted ssr Object |
| star | Magnitude of the Mira Variable R Hydrae |
| Stratford | Daily maximum temperatures in Stratford |
| summary.nnr | Object Summaries |
| summary.slm | Object Summaries |
| summary.snm | Object Summaries |
| summary.snr | Object Summaries |
| summary.ssr | Summarize a ssr object |
| tp | Calculate Reproducing Kernels for Thin Plate Splines |
| tp.linear | Calculate Reproducing Kernels for Thin Plate Splines |
| tp.pseudo | Calculate Reproducing Kernels for Thin Plate Splines |
| TXtemp | Texas Historical Climate Data |
| ultrasound | Ultrasound imaging of the tongue shape |
| USAtemp | Average Winter temperature in the United States |
| wesdr | Wisconsin Epidemiological Study of Diabetic Retinopathy |
| xyplot2 | Extension of XYPLOT |