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FSSF  

Generate Fully-Sequential Space-Filling Designs Inside a Unit Hypercube
View on CRAN: Click here


Download and install FSSF package within the R console
Install from CRAN:
install.packages("FSSF")

Install from Github:
library("remotes")
install_github("cran/FSSF")

Install by package version:
library("remotes")
install_version("FSSF", "0.1.1")



Attach the package and use:
library("FSSF")
Maintained by
Boyang Shang
[Scholar Profile | Author Map]
First Published: 2020-01-31
Latest Update: 2020-02-05
Description:
Provides three methods proposed by Shang and Apley (2019) to generate fully-sequential space-filling designs inside a unit hypercube. A 'fully-sequential space-filling design' means a sequence of nested designs (as the design size varies from one point up to some maximum number of points) with the design points added one at a time and such that the design at each size has good space-filling properties. Two methods target the minimum pairwise distance criterion and generate maximin designs, among which one method is more efficient when design size is large. One method targets the maximum hole size criterion and uses a heuristic to generate what is closer to a minimax design.
How to cite:
Boyang Shang (2020). FSSF: Generate Fully-Sequential Space-Filling Designs Inside a Unit Hypercube. R package version 0.1.1, https://cran.r-project.org/web/packages/FSSF. Accessed 04 May. 2025.
Previous versions and publish date:
0.1.0 (2020-01-31 14:40)
Other packages that cited FSSF R package
View FSSF citation profile
Other R packages that FSSF depends, imports, suggests or enhances
Complete documentation for FSSF
Functions, R codes and Examples using the FSSF R package
Some associated functions: FSSF-package . FSSF_b . FSSF_f . FSSF_fr . 
Some associated R codes: RcppExports.R .  Full FSSF package functions and examples
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