| 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 |