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: |
0.1.0 |
| Depends: |
R (≥ 2.10) |
| Imports: |
rlang (≥ 0.1.2), dplyr, magrittr, scales, gganimate, ggplot2, tibble, purrr, tourr, stringr, ggrepel, ggforce, tidyr, cli, progress, glue, GpGp |
| Suggests: |
roxygen2, covr, pkgdown, testthat, forcats, patchwork, future.apply |
| Published: |
2024-06-23 |
| DOI: |
10.32614/CRAN.package.ferrn |
| Author: |
H. Sherry Zhang 
[aut, cre],
Dianne Cook [aut],
Ursula Laa [aut],
Nicolas Langrené
[aut],
Patricia Menéndez
[aut] |
| Maintainer: |
H. Sherry Zhang <huizezhangsh at gmail.com> |
| 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 |