unmarked: Models for Data from Unmarked Animals
Fits hierarchical models of animal abundance and occurrence to data collected using survey methods such as point counts, site occupancy sampling, distance sampling, removal sampling, and double observer sampling. Parameters governing the state and observation processes can be modeled as functions of covariates. References: Kellner et al. (2023) <doi:10.1111/2041-210X.14123>, Fiske and Chandler (2011) <doi:10.18637/jss.v043.i10>.
Version:
1.5.1
Depends:
R (≥ 4.0)
Imports:
graphics,
lattice,
MASS,
Matrix, methods, parallel,
Rcpp (≥
0.8.0),
reformulas, stats,
TMB (≥ 1.7.18), utils
Published:
2025年09月26日
Author:
Richard Chandler [aut],
Ken Kellner [cre, aut],
Ian Fiske [aut],
David Miller [aut],
Andy Royle [aut],
Jeff Hostetler [aut],
Rebecca Hutchinson [aut],
Adam Smith [aut],
Lea Pautrel [aut],
Marc Kery [ctb],
Mike Meredith [ctb],
Auriel Fournier [ctb],
Ariel Muldoon [ctb],
Chris Baker [ctb]
Maintainer:
Ken Kellner <contact at kenkellner.com>
NeedsCompilation:
yes
SystemRequirements:
GNU make
Documentation:
Downloads:
Reverse dependencies:
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