# Categorical Regression Splines

## Documentation for package ‘crs’ version 0.15-46

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Code demos. Use demo() to run them.
- Package NEWS
- Package README

## Help Pages

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
crshat | CRS Hat Operator
crshat.crs | CRS Hat Operator
crsiv | Nonparametric Instrumental Regression
crsiv.default | Nonparametric Instrumental Regression
crsiv.formula | Nonparametric Instrumental Regression
crsivderiv | Nonparametric Instrumental Derivatives
crsivderiv.default | Nonparametric Instrumental Derivatives
crsivderiv.formula | Nonparametric Instrumental Derivatives
crssigtest | Regression Spline Significance Test with Mixed Data Types
crs_boot_control | Plot Categorical Regression Spline Fits
crs_grid_control | Plot Categorical Regression Spline Fits
crs_nomad_api | Native NOMAD C API for package authors
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
plot.crs | Plot Categorical Regression Spline Fits
print.crshat | CRS Hat Operator
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