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