| np |
Nonparametric Kernel Smoothing Methods for Mixed Data Types |
| npcdens |
Kernel Conditional Density Estimation with Mixed Data Types |
| npcdens.call |
Kernel Conditional Density Estimation with Mixed Data Types |
| npcdens.conbandwidth |
Kernel Conditional Density Estimation with Mixed Data Types |
| npcdens.default |
Kernel Conditional Density Estimation with Mixed Data Types |
| npcdens.formula |
Kernel Conditional Density Estimation with Mixed Data Types |
| npcdensbw |
Kernel Conditional Density Bandwidth Selection with Mixed Data Types |
| npcdensbw.conbandwidth |
Kernel Conditional Density Bandwidth Selection with Mixed Data Types |
| npcdensbw.default |
Kernel Conditional Density Bandwidth Selection with Mixed Data Types |
| npcdensbw.formula |
Kernel Conditional Density Bandwidth Selection with Mixed Data Types |
| npcdensbw.NULL |
Kernel Conditional Density Bandwidth Selection with Mixed Data Types |
| npcdist |
Kernel Conditional Distribution Estimation with Mixed Data Types |
| npcdist.call |
Kernel Conditional Distribution Estimation with Mixed Data Types |
| npcdist.condbandwidth |
Kernel Conditional Distribution Estimation with Mixed Data Types |
| npcdist.default |
Kernel Conditional Distribution Estimation with Mixed Data Types |
| npcdist.formula |
Kernel Conditional Distribution Estimation with Mixed Data Types |
| npcdistbw |
Kernel Conditional Distribution Bandwidth Selection with Mixed Data Types |
| npcdistbw.condbandwidth |
Kernel Conditional Distribution Bandwidth Selection with Mixed Data Types |
| npcdistbw.default |
Kernel Conditional Distribution Bandwidth Selection with Mixed Data Types |
| npcdistbw.formula |
Kernel Conditional Distribution Bandwidth Selection with Mixed Data Types |
| npcdistbw.NULL |
Kernel Conditional Distribution Bandwidth Selection with Mixed Data Types |
| npcmstest |
Kernel Consistent Model Specification Test with Mixed Data Types |
| npconmode |
Kernel Modal Regression with Mixed Data Types |
| npconmode.call |
Kernel Modal Regression with Mixed Data Types |
| npconmode.conbandwidth |
Kernel Modal Regression with Mixed Data Types |
| npconmode.default |
Kernel Modal Regression with Mixed Data Types |
| npconmode.formula |
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 |
| npindex.call |
Semiparametric Single Index Model |
| npindex.default |
Semiparametric Single Index Model |
| npindex.formula |
Semiparametric Single Index Model |
| npindex.sibandwidth |
Semiparametric Single Index Model |
| npindexbw |
Semiparametric Single Index Model Parameter and Bandwidth Selection |
| npindexbw.default |
Semiparametric Single Index Model Parameter and Bandwidth Selection |
| npindexbw.formula |
Semiparametric Single Index Model Parameter and Bandwidth Selection |
| npindexbw.NULL |
Semiparametric Single Index Model Parameter and Bandwidth Selection |
| npindexbw.sibandwidth |
Semiparametric Single Index Model Parameter and Bandwidth Selection |
| npksum |
Kernel Sums with Mixed Data Types |
| npksum.default |
Kernel Sums with Mixed Data Types |
| npksum.formula |
Kernel Sums with Mixed Data Types |
| npksum.numeric |
Kernel Sums with Mixed Data Types |
| npplot |
General Purpose Plotting of Nonparametric Objects |
| npplot.bandwidth |
General Purpose Plotting of Nonparametric Objects |
| npplot.conbandwidth |
General Purpose Plotting of Nonparametric Objects |
| npplot.plbandwidth |
General Purpose Plotting of Nonparametric Objects |
| npplot.rbandwidth |
General Purpose Plotting of Nonparametric Objects |
| npplot.scbandwidth |
General Purpose Plotting of Nonparametric Objects |
| npplot.sibandwidth |
General Purpose Plotting of Nonparametric Objects |
| npplreg |
Partially Linear Kernel Regression with Mixed Data Types |
| npplreg.call |
Partially Linear Kernel Regression with Mixed Data Types |
| npplreg.formula |
Partially Linear Kernel Regression with Mixed Data Types |
| npplreg.plbandwidth |
Partially Linear Kernel Regression with Mixed Data Types |
| npplregbw |
Partially Linear Kernel Regression Bandwidth Selection with Mixed Data Types |
| npplregbw.default |
Partially Linear Kernel Regression Bandwidth Selection with Mixed Data Types |
| npplregbw.formula |
Partially Linear Kernel Regression Bandwidth Selection with Mixed Data Types |
| npplregbw.NULL |
Partially Linear Kernel Regression Bandwidth Selection with Mixed Data Types |
| npplregbw.plbandwidth |
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 |
| npqreg.call |
Kernel Quantile Regression with Mixed Data Types |
| npqreg.condbandwidth |
Kernel Quantile Regression with Mixed Data Types |
| npqreg.default |
Kernel Quantile Regression with Mixed Data Types |
| npqreg.formula |
Kernel Quantile Regression with Mixed Data Types |
| npquantile |
Kernel Univariate Quantile Estimation |
| npreg |
Kernel Regression with Mixed Data Types |
| npreg.call |
Kernel Regression with Mixed Data Types |
| npreg.default |
Kernel Regression with Mixed Data Types |
| npreg.formula |
Kernel Regression with Mixed Data Types |
| npreg.rbandwidth |
Kernel Regression with Mixed Data Types |
| npregbw |
Kernel Regression Bandwidth Selection with Mixed Data Types |
| npregbw.default |
Kernel Regression Bandwidth Selection with Mixed Data Types |
| npregbw.formula |
Kernel Regression Bandwidth Selection with Mixed Data Types |
| npregbw.NULL |
Kernel Regression Bandwidth Selection with Mixed Data Types |
| npregbw.rbandwidth |
Kernel Regression Bandwidth Selection with Mixed Data Types |
| npregiv |
Nonparametric Instrumental Regression |
| npregivderiv |
Nonparametric Instrumental Derivatives |
| npscoef |
Smooth Coefficient Kernel Regression |
| npscoef.call |
Smooth Coefficient Kernel Regression |
| npscoef.default |
Smooth Coefficient Kernel Regression |
| npscoef.formula |
Smooth Coefficient Kernel Regression |
| npscoef.scbandwidth |
Smooth Coefficient Kernel Regression |
| npscoefbw |
Smooth Coefficient Kernel Regression Bandwidth Selection |
| npscoefbw.default |
Smooth Coefficient Kernel Regression Bandwidth Selection |
| npscoefbw.formula |
Smooth Coefficient Kernel Regression Bandwidth Selection |
| npscoefbw.NULL |
Smooth Coefficient Kernel Regression Bandwidth Selection |
| npscoefbw.scbandwidth |
Smooth Coefficient Kernel Regression Bandwidth Selection |
| npsdeptest |
Kernel Consistent Serial Dependence Test for Univariate Nonlinear Processes |
| npseed |
Set Random Seed |
| npsigtest |
Kernel Regression Significance Test with Mixed Data Types |
| npsigtest.call |
Kernel Regression Significance Test with Mixed Data Types |
| npsigtest.default |
Kernel Regression Significance Test with Mixed Data Types |
| npsigtest.formula |
Kernel Regression Significance Test with Mixed Data Types |
| npsigtest.npregression |
Kernel Regression Significance Test with Mixed Data Types |
| npsigtest.rbandwidth |
Kernel Regression Significance Test with Mixed Data Types |
| npsymtest |
Kernel Consistent Density Asymmetry Test with Mixed Data Types |
| nptgauss |
Truncated Second-order Gaussian Kernels |
| npudens |
Kernel Density Estimation with Mixed Data Types |
| npudens.bandwidth |
Kernel Density Estimation with Mixed Data Types |
| npudens.call |
Kernel Density Estimation with Mixed Data Types |
| npudens.default |
Kernel Density Estimation with Mixed Data Types |
| npudens.formula |
Kernel Density Estimation with Mixed Data Types |
| npudensbw |
Kernel Density Bandwidth Selection with Mixed Data Types |
| npudensbw.bandwidth |
Kernel Density Bandwidth Selection with Mixed Data Types |
| npudensbw.default |
Kernel Density Bandwidth Selection with Mixed Data Types |
| npudensbw.formula |
Kernel Density Bandwidth Selection with Mixed Data Types |
| npudensbw.NULL |
Kernel Density Bandwidth Selection with Mixed Data Types |
| npudist |
Kernel Distribution Estimation with Mixed Data Types |
| npudist.call |
Kernel Distribution Estimation with Mixed Data Types |
| npudist.dbandwidth |
Kernel Distribution Estimation with Mixed Data Types |
| npudist.default |
Kernel Distribution Estimation with Mixed Data Types |
| npudist.formula |
Kernel Distribution Estimation with Mixed Data Types |
| npudistbw |
Kernel Distribution Bandwidth Selection with Mixed Data Types |
| npudistbw.dbandwidth |
Kernel Distribution Bandwidth Selection with Mixed Data Types |
| npudistbw.default |
Kernel Distribution Bandwidth Selection with Mixed Data Types |
| npudistbw.formula |
Kernel Distribution Bandwidth Selection with Mixed Data Types |
| npudistbw.NULL |
Kernel Distribution Bandwidth Selection with Mixed Data Types |
| 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 |
| npunitest |
Kernel Consistent Univariate Density Equality Test with Mixed Data Types |
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