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 |