Man pages for rbbnp
A Bias Bound Approach to Non-Parametric Inference

biasBound_condExpectation	Bias bound approach for conditional expectation estimation
biasBound_density	Bias bound approach for density estimation
create_biasBound_config	Create a configuration object for bias bound estimations
create_kernel_functions	Create kernel functions based on configuration
cv_bandwidth	Cross-Validation for Bandwidth Selection
DATA_PATH	The Path to the Data Folder
epanechnikov_kernel	Epanechnikov Kernel
epanechnikov_kernel_ft	Fourier Transform Epanechnikov Kernel
EXT_DATA_PATH	The Path to the External Data Folder for Non-R Data Files
fun_approx	Approximation Function for Intensive Calculations
gen_sample_data	Generate Sample Data
get_avg_f1x	Kernel point estimation
get_avg_fyx	Kernel point estimation
get_avg_phi	Compute Sample Average of Fourier Transform Magnitude
get_avg_phi_log	Compute log sample average of fourier transform and get mod
get_conditional_var	get the conditional variance of Y on X for given x
get_est_Ar	get the estimation of A and r
get_est_B	get the estimation of B
get_est_b1x	Estimation of bias b1x
get_est_byx	Estimation of bias byx
get_est_vy	get the estimation of Vy
get_sigma	Estimation of sigma
get_sigma_yx	Estimation of sigma_yx
get_xi_interval	get xi interval
kernel_reg	Kernel Regression function
normal_kernel	Normal Kernel Function
normal_kernel_ft	Fourier Transform of Normal Kernel
plot_ft	Plot the Fourier Transform
rpoly01	Generate n samples from the distribution
sample_data	Sample Data
select_bandwidth	Select Optimal Bandwidth
silverman_bandwidth	Silverman's Rule of Thumb for Bandwidth Selection
sinc	Infinite Kernel Function
sinc_ft	Define the closed form FT of the infinite order kernel...
true_density_2fold	True density of 2-fold uniform distribution
W_kernel	Define the inverse Fourier transform function of W
W_kernel_ft	Define the Fourier transform of a infinite kernel proposed in...