Object-style wrapper for the semiparametric kernel toolkit

Returns a list of closures bound to the same backend (always pure R in this port; the Python module additionally supports a C backend).

Usage

SemiparKernels()

Value

A list with class morie_semipar_kernels carrying methods nw_regression, local_linear, kde, silverman_bandwidth, loocv_bandwidth, kernel_cond_moments, plus a backend string.

Examples

str(SemiparKernels(), max.level = 1)
#> List of 8
#>  $ backend            : chr "r"
#>  $ available          : logi TRUE
#>  $ nw_regression      :function (x, y, x_eval, bandwidth)  
#>  $ local_linear       :function (x, y, x_eval, bandwidth)  
#>  $ kde                :function (x, x_eval, bandwidth, kernel = "gaussian")  
#>  $ silverman_bandwidth:function (x)  
#>  $ loocv_bandwidth    :function (x, y, bw_min = NULL, bw_max = NULL, n_grid = 30L)  
#>  $ kernel_cond_moments:function (x, y, x_eval, bandwidth)  
#>  - attr(*, "class")= chr [1:2] "morie_semipar_kernels" "list"