select_bw: Select bandwidth
In gbasulto/kerdec: Kernel deconvolution methods

Description Usage Arguments Value Author(s)

This function computes a bandwidth with the selected method and it also plots the corresponding function to minimize (MISE, AMISE, CV, etc.).

select_bw(smp, method = c("CV", "NR")[1], kernel = "flat", h0 = NULL,
  error_smp = NULL, error_dist = "None", error_scale_par = NULL,
  resolution = 128, error_proc = "all", panel_proc = "keep_first",
  truncation_bound = NULL, bw_interval = NULL)

`smp`	It is either a vector of size n or a nxl matrix (for repeated observations; l per each individual).
`method`	Method used to select the bandwidth. The currently available methods are "CV" (cross-validation) and "NR" (normal reference). Cross-validation is the default.
`kernel`	Kernel whose Fourier transform has bounded support. There are currently 5 kernel programmed: "sinc", "triangular", "triw", "tric" and "flat". See vignette for further details and examples. Flat-top kernel is the default.
`h0`	Optional argument used as initial value to look for the optimal value.
`error_smp`	Optional vector of errors. It is necessary to approximate the error distribution if it is unknown.
`error_dist`	Three possible values are accepted. c("Normal", "Laplace", "None").
`error_scale_par`	Scale parameter matching the standard deviation. It is NULL by default and it is required if (and only if) error_dist is normal or Laplace and no sample of error is provided nor contaminated sample comes in panel structure.
`resolution`	Number of points to approximate integral in inversion formula, also to estimate the density (if grid was not given).
`error_proc`	This is required only for panel data structure. It refers to the way errors are processed. See `process_differences` for further details.
`panel_proc`	It defined what will be the contaminated sample (only) for panel data. "keep_first" will use the first column as sample while "take_aver" will take the average of contaminated samples per individual.
`truncation_bound`	It truncates the integrand in deconvolution formula when the denominator is smaller than this bound.
`bw_interval`	A bivariate vector with the limits where the function to minimize is going to be plotted.