c(
person("Scott", "Chamberlain", role = c("aut","cre"),
email = "myrmecocystus@gmail.com",
comment = c(ORCID = "0000-0003-1444-9135"))
)
roxygen2 (>= 6.1.0), testthat, rmarkdown, knitr

tibble (>= 1.2), data.table (>= 1.10.0), lubridate

Classical Ising Model is a land mark system in statistical physics. Model explains physics of spin glasses and magnetic materials, but used in many different context for example phase transitions and neural systems. This package provides utilities to simulate one dimensional Ising Model with Metropolis Monte Carlo with single flip dynamics in periodic boundary conditions.

Classical Ising Model is a land mark system in statistical physics. Model explains physics of spin glasses and magnetic materials, but used in many different context for example phase transitions and neural systems. This package provides utilities to simulate one dimensional Ising Model with Metropolis and Glauber Monte Carlo with single flip dynamics in periodic boundary conditions.

Classical Ising Model is a land mark system in statistical physics.The model explains the physics of spin glasses and magnetic materials, and cooperative phenomenon in general, for example phase transitions and neural networks.This package provides utilities to simulate one dimensional Ising Model with Metropolis and Glauber Monte Carlo with single flip dynamics in periodic boundary conditions. Utility functions for exact solutions are provided.

Stochastic Island Biogeography Theory Made Easy
c(person("Vicente","Jimenez",email="vicente.jimenez.ontiveros@gmail.com",role=c("aut","cre")),
person("David","Alonso", email = "dalonso@ceab.csic.es", role = "aut"))
Tools to develop stochastic models based on the Theory of Island
Biogeography (TIB) of MacArthur and Wilson (1967) <DOI:10.1023/A:1016393430551>
and extensions. The package implements methods to estimate colonization and
extinction rates (including environmental variables) given presence-absence
data, simulate community assembly, and perform model selection.
Vicente Jimenez [aut, cre],
David Alonso [aut]