WH_2d_fixed_lambda: 2D Whittaker-Henderson Smoothing (Maximum Likelihood, fixed...

In WH: Enhanced Implementation of Whittaker-Henderson Smoothing

2D Whittaker-Henderson Smoothing (Maximum Likelihood, fixed lambda)

Description

2D Whittaker-Henderson Smoothing (Maximum Likelihood, fixed lambda)

Usage

WH_2d_fixed_lambda(
  d,
  ec,
  y,
  wt,
  lambda = c(1000, 1000),
  q = c(2, 2),
  p,
  reg = FALSE,
  verbose = FALSE,
  accu_dev = 1e-12
)

Arguments

y	Matrix of observations
wt	Optional matrix of weights
lambda	Vector of smoothing parameter
q	Matrix of orders of penalization. Polynoms of degrees q - 1 are considered smooth and are therefore unpenalized
p	The number of eigenvectors to keep on each dimension

Value

An object of class "WH_2d" i.e. a list containing model fit, variance, residuals and degrees of freedom as well as diagnosis to asses the quality of the fit.

WH documentation built on Sept. 11, 2024, 9:12 p.m.