| crs-package | Nonparametric Regression Splines with Continuous and Categorical Predictors | 
| clsd | Categorical Logspline Density | 
| cps71 | Canadian High School Graduate Earnings | 
| crs | Categorical Regression Splines | 
| crs.default | Categorical Regression Splines | 
| crs.formula | Categorical Regression Splines | 
| crsiv | Nonparametric Instrumental Regression | 
| crsivderiv | Nonparametric Instrumental Derivatives | 
| crssigtest | Regression Spline Significance Test with Mixed Data Types | 
| Engel95 | 1995 British Family Expenditure Survey | 
| frscv | Categorical Factor Regression Spline Cross-Validation | 
| frscvNOMAD | Categorical Factor Regression Spline Cross-Validation | 
| glp.model.matrix | Utility function for constructing generalized polynomial smooths | 
| gsl.bs | GSL (GNU Scientific Library) B-spline/B-spline Derivatives | 
| gsl.bs.default | GSL (GNU Scientific Library) B-spline/B-spline Derivatives | 
| gsl.bs.predict | GSL (GNU Scientific Library) B-spline/B-spline Derivatives | 
| krscv | Categorical Kernel Regression Spline Cross-Validation | 
| krscvNOMAD | Categorical Kernel Regression Spline Cross-Validation | 
| npglpreg | Generalized Local Polynomial Regression | 
| npglpreg.default | Generalized Local Polynomial Regression | 
| npglpreg.formula | Generalized Local Polynomial Regression | 
| snomadr | R interface to NOMAD | 
| tensor.prod.model.matrix | Utility functions for constructing tensor product smooths | 
| uniquecombs | Find the unique rows in a matrix | 
| wage1 | Cross-Sectional Data on Wages |