Man pages for JeffreyRacine/R-Package-np
Nonparametric Kernel Smoothing Methods for Mixed Data Types
| b.star | Compute Optimal Block Length for Stationary and Circular... |
| data-cps71 | Canadian High School Graduate Earnings |
| data-Engel95 | 1995 British Family Expenditure Survey |
| data-italy | Italian GDP Panel |
| data-oecd | Cross Country Growth Panel |
| data-wage1 | Cross-Sectional Data on Wages |
| gradients | Extract Gradients |
| np.cmstest | Kernel Consistent Model Specification Test with Mixed Data... |
| np.condensity | Kernel Conditional Density Estimation with Mixed Data Types |
| np.condensity.bw | Kernel Conditional Density Bandwidth Selection with Mixed... |
| np.condistribution | Kernel Conditional Distribution Estimation with Mixed Data... |
| np.condistribution.bw | Kernel Conditional Distribution Bandwidth Selection with... |
| np.conmode | Kernel Modal Regression with Mixed Data Types |
| np.copula | Kernel Copula Estimation with Mixed Data Types |
| np.deneqtest | Kernel Consistent Density Equality Test with Mixed Data Types |
| np.density | Kernel Density Estimation with Mixed Data Types |
| np.density.bw | Kernel Density Bandwidth Selection with Mixed Data Types |
| np.deptest | Kernel Consistent Pairwise Nonlinear Dependence Test for... |
| np.distribution | Kernel Distribution Estimation with Mixed Data Types |
| np.distribution.bw | Kernel Distribution Bandwidth Selection with Mixed Data Types |
| np.kernelsum | Kernel Sums with Mixed Data Types |
| np-package | Nonparametric Kernel Smoothing Methods for Mixed Data Types |
| np.plot | General Purpose Plotting of Nonparametric Objects |
| np.plregression | Partially Linear Kernel Regression with Mixed Data Types |
| np.plregression.bw | Partially Linear Kernel Regression Bandwidth Selection with... |
| np.qcmstest | Kernel Consistent Quantile Regression Model Specification... |
| np.qregression | Kernel Quantile Regression with Mixed Data Types |
| np.quantile | Kernel Univariate Quantile Estimation |
| np.regression | Kernel Regression with Mixed Data Types |
| np.regression.bw | Kernel Regression Bandwidth Selection with Mixed Data Types |
| np.regressioniv | Nonparametric Instrumental Regression |
| np.regressionivderiv | Nonparametric Instrumental Derivatives |
| np.sdeptest | Kernel Consistent Serial Dependence Test for Univariate... |
| npseed | Set Random Seed |
| np.sigtest | Kernel Regression Significance Test with Mixed Data Types |
| np.singleindex | Semiparametric Single Index Model |
| np.singleindex.bw | Semiparametric Single Index Model Parameter and Bandwidth... |
| np.smoothcoef | Smooth Coefficient Kernel Regression |
| np.smoothcoef.bw | Smooth Coefficient Kernel Regression Bandwidth Selection |
| np.symtest | Kernel Consistent Density Asymmetry Test with Mixed Data... |
| nptgauss | Truncated Second-order Gaussian Kernels |
| npuniden.boundary | Kernel Bounded Univariate Density Estimation Via Boundary... |
| npuniden.reflect | Kernel Bounded Univariate Density Estimation Via... |
| npuniden.sc | Kernel Shape Constrained Bounded Univariate Density... |
| np.unitest | Kernel Consistent Univariate Density Equality Test with Mixed... |
| se | Extract Standard Errors |
| uocquantile | Compute Quantiles |
