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Models for Data from Unmarked Animals

Installation

About

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.

Citation unmarked citation info
groups.google.com/d/forum/unmarked
rbchan.github.io/unmarked/
github.com/ianfiske/unmarked
github.com/rbchan/unmarked
System requirements GNU make
Bug report File report

Key Metrics

Version 1.4.1
R ≥ 4.0
Published 2024-01-09 106 days ago
Needs compilation? yes
License GPL (≥ 3)
CRAN checks unmarked results

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Maintainer

Maintainer

Ken Kellner

contact@kenkellner.com

Authors

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

Material

NEWS
Reference manual
Package source

In Views

Environmetrics

Vignettes

Capture-recapture
Dynamic occupancy models
Contributing to unmarked
Distance sampling analysis
Multispecies occupancy models with occuMulti
Power Analysis in unmarked
Simulating datasets
Species distributions
Overview of unmarked

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

unmarked archive

Depends

R ≥ 4.0

Imports

graphics
lattice
lme4
MASS
Matrix
methods
parallel
Rcpp ≥ 0.8.0
stats
TMB ≥ 1.7.18
utils

Suggests

pbapply
knitr
rmarkdown
raster
shiny
testthat
terra

LinkingTo

Rcpp
RcppArmadillo
TMB
RcppEigen

Reverse Depends

DiversityOccupancy
ubms

Reverse Imports

AHMbook
AICcmodavg
AMModels
nmixgof

Reverse Suggests

auk
hmmTMB

Reverse Enhances

MuMIn