Function Index
Index of functions in np/npRmpi and crs
Below you can find an index of functions and datasets contained in the np/npRmpi and crs packages. Further information and working examples can be found by loading the packages and requesting help for a given function by entering `?foo' at the R/RStudio console, where foo is a function name from the list below (without the single quotes `'). Or in RStudio you can get help by clicking on the package name from the `Packages' tab in the lower right pane (default) which will pull up the list of functions contained in the package - clicking on the function will display help. Note that at the bottom of each function description is a set of working examples that you can run, modify etc.
Here is an index of functions contained in the crs package along with a brief description:
- crs: Categorical Regression Splines 
- crsiv: Nonparametric Instrumental Regression 
- crsivderiv: Nonparametric Instrumental Derivatives 
- crssigtest: Regression Spline Significance Test with Mixed Data Types 
- gsl.bs: GSL (GNU Scientific Library) B-spline/B-spline Derivatives 
- npglpreg: Generalized Local Polynomial Regression 
- snomadr: R interface to NOMAD 
Here is an index of functions contained in the np/npRmpi packages along with a brief description:
- npcdens: Kernel Conditional Density and Distribution Estimates with Mixed Data Types 
- npcdensbw: Kernel Conditional Density Bandwidth Selection with Mixed Data Types 
- npcdist: Kernel Conditional Density and Distribution Estimates with Mixed Data Types 
- npcmstest: Kernel Consistent Model Specification Test with Mixed Data Types 
- npconmode: Kernel Modal Regression with Mixed Data Types 
- npcopula: Kernel Copula Estimation with Mixed Data Types 
- npdeneqtest: Kernel Consistent Density Equality Test with Mixed Data Types 
- npdeptest: Kernel Consistent Pairwise Nonlinear Dependence Test for Univariate Processes 
- npindex: Semiparametric Single Index Model 
- npindexbw: Semiparametric Single Index Model Parameter and Bandwidth Selection 
- npksum: Kernel Sums with Mixed Data Types 
- npplot: General Purpose Plotting of Nonparametric Objects 
- npplreg: Partially Linear Kernel Regression with Mixed Data Types 
- npplregbw: Partially Linear Kernel Regression Bandwidth Selection with Mixed Data Types 
- npqcmstest: Kernel Consistent Quantile Regression Model Specification Test with Mixed Data Types 
- npqreg: Kernel Quantile Regression with Mixed Data Types 
- npreg: Kernel Regression with Mixed Data Types 
- npregbw: Kernel Regression Bandwidth Selection with Mixed Data Types 
- npregiv: Nonparametric Instrumental Regression 
- npregivderiv: Nonparametric Instrumental Derivatives 
- npscoef: Smooth Coefficient Kernel Regression 
- npscoefbw: Smooth Coefficient Kernel Regression Bandwidth Selection 
- npsdeptest: Kernel Consistent Serial Dependence Test for Univariate Nonlinear Processes 
- npsigtest: Kernel Regression Significance Test with Mixed Data Types 
- npsymtest: Kernel Consistent Density Asymmetry Test with Mixed Data Types 
- npudens: Kernel Density and Distribution Estimation with Mixed Data Types 
- npudensbw: Kernel Density Bandwidth Selection with Mixed Data Types 
- npudist: Kernel Density and Distribution Estimation with Mixed Data Types 
- npunitest: Kernel Consistent Univariate Density Equality Test with Mixed Data Types 
The packages include the following datasets between them:
- cps71: Canadian High School Graduate Earnings 
- Engel95: 1995 British Family Expenditure Survey 
- wage1: Cross-Sectional Data on Wages 
- Italy: Italian GDP Panel 
- oecdpanel: Cross Country Growth Panel