
Package index
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biasBound_density() - Bias bound approach for density estimation
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biasBound_condExpectation() - Bias bound approach for conditional expectation estimation
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select_bandwidth() - Select Optimal Bandwidth
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cv_bandwidth() - Cross-Validation for Bandwidth Selection
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silverman_bandwidth() - Silverman's Rule of Thumb for Bandwidth Selection
Methods for fitted models
Standard methods for the bbnp_density and bbnp_regression objects returned by the estimation functions.
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print(<bbnp_density>) - Print Method for bbnp_density Objects
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summary(<bbnp_density>) - Summary Method for bbnp_density Objects
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plot(<bbnp_density>) - Plot Method for bbnp_density Objects
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coef(<bbnp_density>) - Extract Coefficients from bbnp_density Object
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confint(<bbnp_density>) - Extract Confidence Intervals from bbnp_density Object
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print(<bbnp_regression>) - Print Method for bbnp_regression Objects
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summary(<bbnp_regression>) - Summary Method for bbnp_regression Objects
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plot(<bbnp_regression>) - Plot Method for bbnp_regression Objects
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coef(<bbnp_regression>) - Extract Coefficients from bbnp_regression Object
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confint(<bbnp_regression>) - Extract Confidence Intervals from bbnp_regression Object
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fitted(<bbnp_regression>) - Extract Fitted Values from bbnp_regression Object
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create_biasBound_config() - Create a configuration object for bias bound estimations
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create_kernel_functions() - Create kernel functions based on configuration
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gen_sample_data() - Generate Sample Data
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sample_data - Sample Data
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plot_ft() - Plot the Fourier Transform (Deprecated)