Bayesian Analyses of Radiocarbon Dates with NIMBLE
Provides utility functions and custom probability distribution for Bayesian analyses of radiocarbon dates within the 'nimble' modelling framework.  It includes various population growth models, nimbleFunction objects, as well as a suite of functions for prior and posterior predictive checks for demographic inference (Crema and Shoda (2021) <doi:10.1371/journal.pone.0251695>) and other analyses.

Distributions for Ecological Models in 'nimble'
c(person("Benjamin R.", "Goldstein", role = c("aut", "cre"),
email = "ben.goldstein@berkeley.edu"),
person("Daniel", "Turek", role = "aut"),
person("Lauren", "Ponisio", role = "aut"),
person("Perry", "de Valpine", role = "aut"))
Common ecological distributions for 'nimble' models in the form of nimbleFunction objects.
Includes Cormack-Jolly-Seber, occupancy, dynamic occupancy, hidden Markov, and dynamic hidden Markov models.
(Jolly (1965) <doi:10.2307/2333826>, Seber (1965) <10.2307/2333827>, Turek et al. (2016) <doi:10.1007/s10651-016-0353-z>).
Copyright (c) 2019, Perry de Valpine, Ben Goldstein, Daniel
Turek, Lauren Ponisio
dDynOcc.R dCJS.R dDHMM.R dHMM.R dOcc.R zzz.R
Benjamin R. Goldstein [aut, cre],
Daniel Turek [aut],
Lauren Ponisio [aut],
Perry de Valpine [aut]

dCJS.R dDynOcc.R dDHMM.R dHMM.R dOcc.R dNmixture.R zzz.R

Common ecological distributions for 'nimble' models in the form of nimbleFunction objects.
Includes Cormack-Jolly-Seber, occupancy, dynamic occupancy, hidden Markov, dynamic hidden Markov, and N-mixture models.
(Jolly (1965) <doi:10.2307/2333826>, Seber (1965) <10.2307/2333827>, Turek et al. (2016) <doi:10.1007/s10651-016-0353-z>).

Common ecological distributions for 'nimble' models in the form of nimbleFunction objects.
Includes Cormack-Jolly-Seber, occupancy, dynamic occupancy, hidden Markov, dynamic hidden Markov, and N-mixture models.
(Jolly (1965) <DOI: 10.2307/2333826>, Seber (1965) <DOI: 10.2307/2333827>, Turek et al. (2016) <doi:10.1007/s10651-016-0353-z>).

utils.R dBetaBinom.R dCJS.R dDynOcc.R dDHMM.R dHMM.R dOcc.R
dNmixture.R zzz.R