Description: Provides utility functions, distributions, and methods for improving Markov chain Monte Carlo (MCMC) sampling efficiency for ecological Spatial Capture-Recapture (SCR) and Open Population Spatial Capture-Recapture (OPSCR) models.  The methods provided implement the techniques presented in "Estimation of Large-Scale Spatial Capture-Recapture Models" (Turek, et al (2021); Eco-sphere 12(2):e03385. <doi:10.1002/ecs2.3385>).
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), coda, basicMCMCplots

Description: Provides utility functions, distributions, and fitting methods for Bayesian Spatial Capture-Recapture (SCR) and Open Population Spatial Capture-Recapture (OPSCR) modelling using the nimble package (de Valpine et al. 2017 <doi:10.1080/10618600.2016.1172487 >). Development of the package was motivated primarily by the need for flexible and efficient analysis of large-scale SCR data (Bischof et al. 2020 <doi:10.1073/pnas.2011383117 >). Computational methods and techniques implemented in nimbleSCR include those discussed in Turek et al. 2021 <doi:10.1002/ecs2.3385>; among others. For a recent application of nimbleSCR, see Milleret et al. (2021) <doi:10.1098/rsbl.2021.0128>.

Title: Sequential Monte Carlo Methods for 'nimble'
Description: Includes five particle filtering algorithms for use with state space
models in the 'nimble' system: 'Auxiliary', 'Bootstrap', 'Ensemble Kalman filter',
'Iterated Filtering 2', and 'Liu-West'. A full User Manual is available at
Authors@R: c(person("Nick", "Michaud", role = "aut"),
person("Christopher", "Paciorek", email = "paciorek@stat.berkeley.edu", role = c("aut", "cre")),
person("Benjamin R.", "Goldstein", role = "ctb", comment = "packaging contributions"),
person("The Regents of the", "University of California", role = "cph"))
Collate: AuxiliaryFilter.R BootstrapFilter.R EnKFilter.R IF2Filter.R
LiuWestFilter.R MCMCSamplers.R resamplers.R utils.R zzz.R
Benjamin R. Goldstein [ctb] (packaging contributions),
The Regents of the University of California [cph]