Package index

All functions

b.star()

Compute Optimal Block Length for Stationary and Circular Bootstrap

Engel95

1995 British Family Expenditure Survey

cps71

Canadian High School Graduate Earnings

Italy

Italian GDP Panel

oecdpanel

Cross Country Growth Panel

wage1

Cross-Sectional Data on Wages

gradients()

Extract Gradients

np np-package

Nonparametric Kernel Smoothing Methods for Mixed Data Types

npcmstest()

Kernel Consistent Model Specification Test with Mixed Data Types

npcdens()

Kernel Conditional Density Estimation with Mixed Data Types

npcdensbw()

Kernel Conditional Density Bandwidth Selection with Mixed Data Types

npcdist()

Kernel Conditional Distribution Estimation with Mixed Data Types

npcdistbw()

Kernel Conditional Distribution Bandwidth Selection 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

npudens()

Kernel Density Estimation with Mixed Data Types

npudensbw()

Kernel Density Bandwidth Selection with Mixed Data Types

npdeptest()

Kernel Consistent Pairwise Nonlinear Dependence Test for Univariate Processes

npudist()

Kernel Distribution Estimation with Mixed Data Types

npudistbw()

Kernel Distribution Bandwidth Selection with Mixed Data Types

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

npquantile()

Kernel Univariate Quantile Estimation

npreg()

Kernel Regression with Mixed Data Types

npregbw()

Kernel Regression Bandwidth Selection with Mixed Data Types

npregiv()

Nonparametric Instrumental Regression

npregivderiv()

Nonparametric Instrumental Derivatives

npsdeptest()

Kernel Consistent Serial Dependence Test for Univariate Nonlinear Processes

npsigtest()

Kernel Regression Significance Test with Mixed Data Types

npindex()

Semiparametric Single Index Model

npindexbw()

Semiparametric Single Index Model Parameter and Bandwidth Selection

npscoef()

Smooth Coefficient Kernel Regression

npscoefbw()

Smooth Coefficient Kernel Regression Bandwidth Selection

npsymtest()

Kernel Consistent Density Asymmetry Test with Mixed Data Types

npunitest()

Kernel Consistent Univariate Density Equality Test with Mixed Data Types

npseed()

Set Random Seed

nptgauss()

Truncated Second-order Gaussian Kernels

npuniden.boundary()

Kernel Bounded Univariate Density Estimation Via Boundary Kernel Functions

npuniden.reflect()

Kernel Bounded Univariate Density Estimation Via Data-Reflection

npuniden.sc()

Kernel Shape Constrained Bounded Univariate Density Estimation

se()

Extract Standard Errors

uocquantile()

Compute Quantiles