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DiceView: Methods for visualization of Computer Experiments Design and Surrogate

View 2D/3D sections, contour plots, mesh of excursion sets for computer experiments designs, surrogates or test functions.

Installation

You can install the stabe version of the package using CRAN:

install.packages('DiceView')

Or install the latest version of the package using the remotes R package:

install.packages('remotes')
remotes::install_github("IRSN/DiceView")

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Install

install.packages('DiceView')

Monthly Downloads

617

Version

2.2-0

License

GPL-3

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Last Published

January 15th, 2024

Functions in DiceView (2.2-0)

root

One Dimensional Root (Zero) Finding
roots

One Dimensional Multiple Roots (Zero) Finding
points_in.mesh

Extract points of mesh which belong to the mesh triangulation (may not contain all points)
points_out.mesh

Extract points of mesh which do not belong to the mesh triangulation (may not contain all points)
mesh_roots

Multi Dimensional Multiple Roots (Zero) Finding, sampled by a mesh
optims

Title Multi-local optimization wrapper for optim, using (possibly parallel) multistart.
min_dist

Minimal distance between one point to many points
plot3d_mesh

Plot a three dimensional mesh
plot_mesh

Plot a one dimensional mesh
plot2d_mesh

Plot a two dimensional mesh
sectionview.function

Plot a section view of a prediction model or function, including design points if available.
sectionview3d.function

Plot a contour view of a prediction model or function, including design points if available.
is_in.p

Test if points are in a hull
combn.design

Generalize expand.grid() for multi-columns data. Build all combinations of lines from X1 and X2. Each line may hold multiple columns.
branin

This is a simple copy of the Branin-Hoo 2-dimensional test function, as provided in DiceKriging package. The Branin-Hoo function is defined here over [0,1] x [0,1], instead of [-5,0] x [10,15] as usual. It has 3 global minima : x1 = c(0.9616520, 0.15); x2 = c(0.1238946, 0.8166644); x3 = c(0.5427730, 0.15)
contourview.function

Plot a contour view of a prediction model or function, including design points if available.
are_in.mesh

Checks if some points belong to a given mesh
Memoize.function

Memoize a function
is_in.mesh

Checks if some point belongs to a given mesh
mesh_exsets

Search excursion set of nD function, sampled by a mesh
Vectorize.function

Vectorize a multidimensional Function
Apply.function

Apply Functions Over Array Margins, using custom vectorization (possibly using parallel)