generate.data3d

generate_data3d

generateData3d

GenerateData3d

<p>Generate data related to Section 7.2 of Lu et al. (2012)
(code from author).  Define <code>n = c(128,
  128, 24)</code>.  Then <code>x[[i]] = (1:n[i])/n[i] -
  1/2/n[i]</code>.  These are the observed data locations. For
  <code>i</code>, <code>j</code>, <code>k</code> spanning the full length
  of each element of <code>x</code>, <code>mu3d[i, j, k] =
  x[[1]][i]^2 + x[[2]][j]^2 + x[[3]][k]^2</code>.  Lastly,
  <code>data3d = mu3d + 0.5 * rnorm(n[1] * n[2] * n[3])</code>.</p>

An implementation of the sandwich smoother proposed in Fast Bivariate Penalized Splines by Xiao et al. (2012) <doi:10.1111/rssb.12007>.    A hero is a specific type of sandwich.  Dictionary.com (2018) <https://www.dictionary.com> describes a hero as: a large sandwich, usually consisting of a small loaf of bread or long roll cut in half lengthwise and containing a variety of ingredients, as meat, cheese, lettuce, and tomatoes. Also implements the spatio-temporal sandwich smoother of French and Kokoszka (2021) <doi:10.1016/j.spasta.2020.100413>.

Joshua French

hero

Spatio-Temporal (Hero) Sandwich Smoother

generate.data3d function

<p>Joshua French.  Based off code by Luo Xiao (see
  References).</p>

generate.data3d: Generate 3d data

Description

Usage

Arguments

Value

Author

References

Examples