Title: GPL Palettes Copied from Gimp and Inkscape
person("Francois", "Rebaudo", role = c("aut", "cre"),
comment = "copyright holder for palettes imported from Gimp"),
comment = "copyright holder for palettes imported from Inkscape")
Description: A set of palettes imported from Gimp distributed
under GPL3 (<https://www.gimp.org/about/COPYING>), and Inkscape
Gimp [cph] (copyright holder for palettes imported from Gimp),
Inkscape [cph] (copyright holder for palettes imported from Inkscape)

Title: GPL Palettes Copied from 'Gimp' and 'Inkscape'
Description: A set of palettes imported from 'Gimp' distributed
under GPL3 (<https://www.gimp.org/about/COPYING>), and 'Inkscape'

Title: Use Pokemon Inspired Colour Palettes
Description: Use Pokemon(R) inspired palettes with additional 'ggplot2' scales. Palettes are the colours in each Pokemon's sprite, ordered by how common they are in the image. The first 386 Pokemon are currently provided.
Copyright: Pokemon, pokedex and all pokemon names are trademarks of

Description: Use Pokemon(R) inspired palettes with additional 'ggplot2' scales.
Palettes are the colours in each Pokemon's sprite, ordered by how common
they are in the image. The first 386 Pokemon are currently provided.

Title: Insolation for palaeoclimate studies
Description: R package to compute Incoming Solar Radiation (insolation) for paleoclimate studies. Features three solutions: BER78 (Berger, 1978), BER90 (Berger and Loutre, 1991) and LA04 (Laskar et al. 2004). Computes daily-mean, season-averaged and annual means for all latitudes.

Title: Insolation for Palaeoclimate Studies
Description: R package to compute Incoming Solar Radiation (insolation) for palaeoclimate studies. Features three solutions: Berger (1978), Berger and Loutre (1991) and Laskar et al. (2004). Computes daily-mean, season-averaged and annual means for all latitudes.

Title: Fitting Point Process Models via the Palm Likelihood
Imports: gsl, methods, mvtnorm, R6, spatstat
Description: Functions for the fitting of point process models using the Palm likelihood. First proposed by Tanaka, Ogata, and Stoyan (2008) <DOI:10.1002/bimj.200610339>, maximisation of the Palm likelihood can provide computationally efficient parameter estimation in situations where the full likelihood is intractable. This package is chiefly focused on Neyman-Scott point processes, but can also fit void processes. The development of this package was motivated by the analysis of capture-recapture surveys on which individuals cannot be identified---the data from which can conceptually be seen as a clustered point process. As such, some of the functions in this package are specifically for the estimation of cetacean density from two-camera aerial surveys.