person("Nathan", "Constantine-Cooke", , "nathan.constantine-cooke@ed.ac.uk", role = c("aut", "cre"),
comment = c(ORCID = "0000-0002-4437-8713"))

testthat (>= 3.0.0), tidyverse, palmerpenguins, knitr,
rmarkdown

c(
person("Nathan", "Constantine-Cooke", , "nathan.constantine-cooke@ed.ac.uk", role = c("aut", "cre"),
comment = c(ORCID = "0000-0002-4437-8713")),
person("Hugh", "Warden", , "hugh.warden@outlook.com", role = c("ctb"),
comment = c(ORCID = "0000-0002-4308-7316"))
)
testthat (>= 3.0.0), tidyverse, palmerpenguins, knitr,
rmarkdown, spelling
Nathan Constantine-Cooke [aut, cre]
(<https://orcid.org/0000-0002-4437-8713>),
Hugh Warden [ctb] (<https://orcid.org/0000-0002-4308-7316>)

Palettes Inspired in the TV Show "Game of Thrones"
person("Alejandro", "Jimenez Rico", email = "aljrico@gmail.com", role = c("aut", "cre"))
Implementation of the characteristic palettes from the TV show 'Game of Thrones'.

Statistical Estimation of Game-Theoretic Models
Provides estimation and analysis functions for strategic
statistical models.

'games.r' 'doc.r' 'helpers.r' 'egame12.r' 'egame122.r'
'egame123.r' 'ultimatum.r'

'games.r' 'doc.r' 'helpers.r' 'egame12.r' 'egame122.r'
'egame123.r' 'latexTable.r' 'makeFormulas.r' 'nonnest.r'
'predProbs.r' 'profile.r' 'ultimatum.r'

'games.r' 'doc.r' 'helpers.r' 'egame122.r' 'egame123.r'
'egame12.r' 'latexTable.r' 'makeFormulas.r' 'nonnest.r'
'predProbs.r' 'profile.r' 'ultimatum.r'

c(person(c("Curtis", "S."), "Signorino", role = "aut"),
person("Brenton", "Kenkel", role = c("aut", "cre"),
email = "brenton.kenkel@gmail.com"))
Provides estimation and analysis functions for
strategic statistical models.
Curtis S. Signorino [aut],
Brenton Kenkel [aut, cre]

Genetic Algorithm for Sequential Symmetric Games
Finds adaptive strategies for sequential symmetric
games using a genetic algorithm. Currently, any symmetric two by two matrix
is allowed, and strategies can remember the history of an opponent's play
from the previous three rounds of moves in iterated interactions between
players. The genetic algorithm returns a list of adaptive strategies given
payoffs, and the mean fitness of strategies in each generation.