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np (version 0.40-13)

Nonparametric kernel smoothing methods for mixed data types

Description

This package provides a variety of nonparametric (and semiparametric) kernel methods that seamlessly handle a mix of continuous, unordered, and ordered factor data types. We would like to gratefully acknowledge support from the Natural Sciences and Engineering Research Council of Canada (NSERC:www.nserc.ca), the Social Sciences and Humanities Research Council of Canada (SSHRC:www.sshrc.ca), and the Shared Hierarchical Academic Research Computing Network (SHARCNET:www.sharcnet.ca).

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Install

install.packages('np')

Monthly Downloads

18,878

Version

0.40-13

License

GPL

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Repository

https://github.com/JeffreyRacine/R-Package-np/

Maintainer

Jeffrey Racine

Last Published

March 6th, 2012

Functions in np (0.40-13)

Kernel Conditional Density and Distribution Estimates with Mixed Data Types

Kernel Regression with Mixed Data Types

Kernel Consistent Univariate Density Equality Test with Mixed Data Types

Compute Optimal Block Length for Stationary and Circular Bootstrap

Kernel Consistent Density Equality Test with Mixed Data Types

Cross Country Growth Panel

Kernel Consistent Model Specification Test with Mixed Data Types

Set Random Seed

Semiparametric Single Index Model

Canadian High School Graduate Earnings

Smooth Coefficient Kernel Regression Bandwidth Selection

Kernel Consistent Serial Dependence Test for Univariate Nonlinear Processes

Kernel Density Bandwidth Selection with Mixed Data Types

Kernel Density and Distribution Estimation with Mixed Data Types

Partially Linear Kernel Regression Bandwidth Selection with Mixed Data Types

Kernel Consistent Quantile Regression Model Specification Test with Mixed Data Types

Nonparametric Instrumental Derivatives

Kernel Consistent Pairwise Nonlinear Dependence Test for Univariate Processes

Kernel Modal Regression with Mixed Data Types

Kernel Sums with Mixed Data Types

Kernel Quantile Regression with Mixed Data Types

Nonparametric Kernel Smoothing Methods for Mixed Data Types

Cross-Sectional Data on Wages

1995 British Family Expenditure Survey

Partially Linear Kernel Regression with Mixed Data Types

Smooth Coefficient Kernel Regression

General Purpose Plotting of Nonparametric Objects

Kernel Conditional Density Bandwidth Selection with Mixed Data Types

Compute Quantiles

Kernel Regression Bandwidth Selection with Mixed Data Types

Extract Standard Errors

Kernel Regression Significance Test with Mixed Data Types

Extract Gradients

Italian GDP Panel

Nonparametric Instrumental Regression

Semiparametric Single Index Model Parameter and Bandwidth Selection

Kernel Consistent Density Asymmetry Test with Mixed Data Types