Nonparametric Kernel Smoothing Methods for Mixed Data Types
Compute Optimal Block Length for Stationary and Circular Bootstrap
Canadian High School Graduate Earnings
1995 British Family Expenditure Survey
Italian GDP Panel
Cross Country Growth Panel
Cross-Sectional Data on Wages
Extract Gradients
Nonparametric Kernel Smoothing Methods for Mixed Data Types
Kernel Consistent Model Specification Test with Mixed Data Types
Kernel Conditional Density Bandwidth Selection with Mixed Data Types
Kernel Conditional Density Estimation with Mixed Data Types
Kernel Conditional Distribution Bandwidth Selection with Mixed Data Ty...
Kernel Conditional Distribution Estimation with Mixed Data Types
Kernel Modal Regression with Mixed Data Types
Kernel Copula Estimation with Mixed Data Types
Kernel Consistent Density Equality Test with Mixed Data Types
Kernel Density Bandwidth Selection with Mixed Data Types
Kernel Density Estimation with Mixed Data Types
Kernel Consistent Pairwise Nonlinear Dependence Test for Univariate Pr...
Kernel Distribution Bandwidth Selection with Mixed Data Types
Kernel Distribution Estimation with Mixed Data Types
Kernel Sums with Mixed Data Types
General Purpose Plotting of Nonparametric Objects
Partially Linear Kernel Regression Bandwidth Selection with Mixed Data...
Partially Linear Kernel Regression with Mixed Data Types
Kernel Consistent Quantile Regression Model Specification Test with Mi...
Kernel Quantile Regression with Mixed Data Types
Kernel Univariate Quantile Estimation
Kernel Regression Bandwidth Selection with Mixed Data Types
Kernel Regression with Mixed Data Types
Nonparametric Instrumental Regression
Nonparametric Instrumental Derivatives
Kernel Consistent Serial Dependence Test for Univariate Nonlinear Proc...
Kernel Regression Significance Test with Mixed Data Types
Semiparametric Single Index Model Parameter and Bandwidth Selection
Semiparametric Single Index Model
Smooth Coefficient Kernel Regression Bandwidth Selection
Smooth Coefficient Kernel Regression
Kernel Consistent Density Asymmetry Test with Mixed Data Types
Kernel Consistent Univariate Density Equality Test with Mixed Data Typ...
Set Random Seed
Truncated Second-order Gaussian Kernels
Kernel Bounded Univariate Density Estimation Via Boundary Kernel Funct...
Kernel Bounded Univariate Density Estimation Via Data-Reflection
Kernel Shape Constrained Bounded Univariate Density Estimation
Extract Standard Errors
Compute Quantiles
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, <https://www.nserc-crsng.gc.ca/>), the Social Sciences and Humanities Research Council of Canada (SSHRC, <https://www.sshrc-crsh.gc.ca/>), and the Shared Hierarchical Academic Research Computing Network (SHARCNET, <https://sharcnet.ca/>). We would also like to acknowledge the contributions of the GNU GSL authors. In particular, we adapt the GNU GSL B-spline routine gsl_bspline.c adding automated support for quantile knots (in addition to uniform knots), providing missing functionality for derivatives, and for extending the splines beyond their endpoints.
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