Data from various catalogs of astrophysical gamma-ray sources
detected by NASA's Large Area Telescope (The Astrophysical Journal, 697, 1071,
2009 June 1), on board the Fermi gamma-ray satellite. More information on
Fermi and its data products is available from the Fermi Science Support Center
(http://fermi.gsfc.nasa.gov/ssc/).

Facilitate Exploration of touRR optimisatioN
c(
person("H. Sherry","Zhang", email = "huize.zhang@monash.edu", role = c("aut","cre"), comment = c(ORCID = "0000-0002-7122-1463")),
person("Di", "Cook", email = "dicook@monash.edu", role = "aut", comment = c(ORCID = "0000-0002-3813-7155")),
person("Ursula", "Laa", email = "ursula.laa@boku.ac.at", role = "aut", comment = c(ORCID = "0000-0002-0249-6439")),
person("Nicolas", "Langrené", email = "nicolas.langrene@csiro.au", role = "aut", comment = c(ORCID = "0000-0001-7601-4618")),
person("Patricia", "Menéndez", email = "patricia.menendez@monash.edu", role = "aut", comment = c(ORCID = "0000-0003-0701-6315"))
)
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.
rlang (>= 0.1.2), dplyr, magrittr, scales, gganimate, ggplot2,
tibble, purrr, geozoo, tourr, stringr, ggrepel, ggforce, tidyr
roxygen2, covr, pkgdown, testthat, forcats, patchwork

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>.