estimate_curve: Perform the smoothing of an individual curve.

In StevenGolovkine/funestim: Nonparametric Kernel Smoothing Methods for Functional Data

Perform the smoothing of an individual curve.

Description

This function performs the smoothing of a curve using the Nadaraya-Watson estimator given a particular kernel.

Usage

estimate_curve(
  curve,
  grid,
  bandwidth,
  bandwidth_times = NULL,
  kernel_name = "epanechnikov",
  n_obs_min = 1
)

Arguments

curve	List, with two entries: $t Sampling points. $x Observed points.
grid	Vector, sampling points at which the curve is estimated.
bandwidth	Vector, estimation of the bandwidth. If a unique element is provided, we use a unique bandwidth for the curve. However, if a vector is given, the bandwidth changes depending on the sampling points.
bandwidth_times	Vector (default = NULL), times at which the bandwidths have been estimated. Only used if the parameter bandwidth is a vector.
kernel_name	String (default = 'epanechnikov'), the kernel used for the estimation: epanechnikov uniform biweight
n_obs_min	Integer (default = 1), minimum number of observation for the smoothing.

Value

List, with two entries:

• $t Sampling points.

• $x Estimated points.

StevenGolovkine/funestim documentation built on June 15, 2022, 3:42 a.m.