Diagnostic plots for optimisation, with a focus on projection pursuit. These show paths the optimiser
takes in the high-dimensional space in multiple ways: by reducing the dimension using principal component analysis, and
also using the tour to show the path on the high-dimensional space. Several botanical colour palettes are included, reflecting the
name of the package. A paper describing the methodology can be found at <https://journal.r-project.org/archive/2021/RJ-2021-105/index.html>.
Version: |
0.0.2 |
Depends: |
R (≥ 2.10) |
Imports: |
rlang (≥ 0.1.2), dplyr, magrittr, scales, gganimate, ggplot2, tibble, purrr, geozoo, tourr, stringr, ggrepel, ggforce, tidyr |
Suggests: |
roxygen2, covr, pkgdown, testthat, forcats, patchwork |
Published: |
2022-08-06 |
Author: |
H. Sherry Zhang
[aut, cre],
Dianne Cook [aut],
Ursula Laa [aut],
Nicolas Langrené
[aut],
Patricia Menéndez
[aut] |
Maintainer: |
H. Sherry Zhang <huize.zhang at monash.edu> |
BugReports: |
https://github.com/huizezhang-sherry/ferrn/issues |
License: |
MIT + file LICENSE |
URL: |
https://github.com/huizezhang-sherry/ferrn/ |
NeedsCompilation: |
no |
Language: |
en-GB |
Citation: |
ferrn citation info |
Materials: |
README NEWS |
CRAN checks: |
ferrn results |