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unmarked (version 1.4.1)

Models for Data from Unmarked Animals

Description

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) , Fiske and Chandler (2011) .

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install.packages('unmarked')

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8,284

Version

1.4.1

License

GPL (>= 3)

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Maintainer

Ken Kellner

Last Published

January 9th, 2024

Functions in unmarked (1.4.1)

crossVal

Cross-validation methods for fitted unmarked models and fit lists
detFuns

Distance-sampling detection functions and associated density functions
formatWideLong

Convert between wide and long data formats.
getB-methods

Methods for Function getB in Package `unmarked'
fitList

constructor of unmarkedFitList objects
gpcount

Generalized binomial N-mixture model for repeated count data
formatDistData

Bin distance data
formatMult

Create unmarkedMultFrame from Long Format Data Frame
computeMPLElambda

Compute the penalty weight for the MPLE penalized likelihood method
SE-methods

Methods for Function SE in Package `unmarked'
confint-methods

Methods for Function confint in Package `unmarked'
colext

Fit the dynamic occupancy model of MacKenzie et. al (2003)
MesoCarnivores

Occupancy data for coyote, red fox, and bobcat
occu

Fit the MacKenzie et al. (2002) Occupancy Model
distsamp

Fit the hierarchical distance sampling model of Royle et al. (2004)
coef-methods

Methods for Function coef in Package `unmarked'
fitted-methods

Methods for Function fitted in Package `unmarked'
[-methods

Methods for bracket extraction [ in Package `unmarked'
getP-methods

Methods for Function getP in Package `unmarked'
getFP-methods

Methods for Function getFP in Package `unmarked'
SSE

Compute Sum of Squared Residuals for a Model Fit.
birds

BBS Point Count and Occurrence Data from 2 Bird Species
distsampOpen

Open population model for distance sampling data
frogs

2001 Delaware North American Amphibian Monitoring Program Data
goccu

Fit multi-scale occupancy models
imputeMissing

A function to impute missing entries in continuous obsCovs
gmultmix

Generalized multinomial N-mixture model
nonparboot-methods

Nonparametric bootstrapping in unmarked
backTransform-methods

Methods for Function backTransform in Package `unmarked'
optimizePenalty-methods

Identify Optimal Penalty Parameter Value
lambda2psi

Convert Poisson mean (lambda) to probability of occurrence (psi).
ovendata

Removal data for the Ovenbird
gf

Green frog count index data
occuMS

Fit Single-Season and Dynamic Multi-State Occupancy Models
jay

European Jay data from the Swiss Breeding Bird Survey 2002
Switzerland

Swiss landscape data
occuMulti

Fit the Rota et al. (2016) Multi-species Occupancy Model
gdistremoval

Fit the combined distance and removal model of Amundson et al. (2014).
multinomPois

Multinomial-Poisson Mixtures Model
occuCOP

Fit the occupancy model using count dta
gdistsamp

Fit the generalized distance sampling model of Chandler et al. (2011).
posteriorSamples

Draw samples from the posterior predictive distribution
makePiFuns

Create functions to compute multinomial cell probabilities
pcount.spHDS

Fit spatial hierarchical distance sampling model.
randomTerms

Extract estimates of random effect terms
linearComb-methods

Methods for Function linearComb in Package `unmarked'
pcountOpen

Fit the open N-mixture models of Dail and Madsen and extensions
occuPEN_CV

Fit the MacKenzie et al. (2002) Occupancy Model with the penalized likelihood methods of Hutchinson et al. (2015) using cross-validation
occuPEN

Fit the MacKenzie et al. (2002) Occupancy Model with the penalized likelihood methods of Hutchinson et al. (2015)
powerAnalysis

Conduct a power analysis on an unmarked model
mallard

Mallard count data
unmarked-package

Models for Data from Unmarked Animals
ranef-methods

Methods for Function ranef in Package unmarked
multmixOpen

Open population multinomial N-mixture model
occuFP

Fit occupancy models when false positive detections occur (e.g., Royle and Link [2006] and Miller et al. [2011])
nmixTTD

Fit N-mixture Time-to-detection Models
occuTTD

Fit Single-Season and Dynamic Time-to-detection Occupancy Models
shinyPower

Launch a Shiny app to help with power analysis
sight2perpdist

Convert sight distance and sight angle to perpendicular distance.
sigma

Extract estimates of random effect standard deviations
predict-methods

Methods for Function predict in Package `unmarked'
unmarkedFitList-class

Class "unmarkedFitList"
cruz

Landscape data for Santa Cruz Island
pointtran

Simulated point-transect data
masspcru

Massachusetts North American Amphibian Monitoring Program Data
linetran

Simulated line transect data
unmarkedEstimate-class

Class "unmarkedEstimate"
occuRN

Fit the occupancy model of Royle and Nichols (2003)
csvToUMF

Convert .CSV File to an unmarkedFrame
modSel

Model selection results from an unmarkedFitList
unmarkedFrameDS

Organize data for the distance sampling model of Royle et al. (2004) fit by distsamp
issj

Distance-sampling data for the Island Scrub Jay (Aphelocoma insularis)
simulate-methods

Methods for Function simulate in Package `unmarked'
unmarkedFrame-class

Class "unmarkedFrame"
unmarkedFrame

Create an unmarkedFrame, or one of its child classes.
unmarkedFrameOccuFP

Organize data for the single season occupancy models fit by occuFP
unmarkedFrameOccu

Organize data for the single season occupancy models fit by occu and occuRN
unmarkedFrameOccuCOP

Organize data for the occupancy model using count data fit by occuCOP
parboot

Parametric bootstrap method for fitted models inheriting class.
pcount

Fit the N-mixture model of Royle (2004)
piFuns

Compute multinomial cell probabilities
unmarkedFrameDSO

Create an object of class unmarkedFrameDSO that contains data used by distsampOpen.
unmarkedFit-class

Class "unmarkedFit"
unmarkedEstimateList-class

Class "unmarkedEstimateList"
unmarkedFrameMPois

Organize data for the multinomial-Poisson mixture model of Royle (2004) fit by multinomPois
unmarkedFrameMMO

Create an object of class unmarkedFrameMMO that contains data used by multmixOpen.
unmarkedFrameOccuMS

Organize data for the multi-state occupancy model fit by occuMS
unmarkedMultFrame

Create an unmarkedMultFrame, unmarkedFrameGMM, unmarkedFrameGDS, or unmarkedFrameGPC object
unmarkedPower-methods

Methods for unmarkedPower objects
unmarkedFramePCO

Create an object of class unmarkedFramePCO that contains data used by pcountOpen.
unmarkedFrameOccuMulti

Organize data for the multispecies occupancy model fit by occuMulti
plotEffects

Plot marginal effects of covariates in unmarked models
unmarkedFrameGDR

Organize data for the combined distance and removal point-count model of Amundson et al. (2014) fit by gdistremoval
vif

Compute Variance Inflation Factors for an unmarkedFit Object.
vcov-methods

Methods for Function vcov in Package `unmarked'
unmarkedFrameOccuTTD

Create an unmarkedFrameOccuTTD object for the time-to-detection model fit by occuTTD
unmarkedFramePCount

Organize data for the N-mixture model fit by pcount
unmarkedPowerList

Create or summarize a series of unmarked power analyses
unmarkedRanef-class

Class "unmarkedRanef"
crossbill

Detection/non-detection data on the European crossbill (Loxia curvirostra)