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/articles/RJ-2021-105/index.html>.
| Version: | 0.3.0 |
| Depends: | R (≥ 4.1.0) |
| 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,ash,vdiffr |
| Published: | 2025-11-20 |
| 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 + fileLICENSE |
| URL: | https://github.com/huizezhang-sherry/ferrn/,https://huizezhang-sherry.github.io/ferrn/ |
| NeedsCompilation: | no |
| Language: | en-GB |
| Citation: | ferrn citation info |
| Materials: | README,NEWS |
| In views: | DynamicVisualizations |
| CRAN checks: | ferrn results |