Reference

Occupancy models
occu()	Fit the MacKenzie et al. (2002) Occupancy Model
goccu()	Fit the multi-scale occupancy model of Nichols et al. (2008)
colext()	Fit the dynamic occupancy model of MacKenzie et. al (2003)
occuComm()	Fit a community occupancy model with species-level random effects
occuMS()	Fit Multi-State Occupancy Models (Nichols et al. 2007, MacKenzie et al. 2009)
occuMulti()	Fit the multi-species occupancy model of Rota et al. (2016)
occuPEN()	Fit the MacKenzie et al. (2002) Occupancy Model with the penalized likelihood methods of Hutchinson et al. (2015)
occuFP()	Fit occupancy models when false positive detections occur (e.g., Royle and Link [2006] and Miller et al. [2011])
occuTTD()	Fit Single-Season and Dynamic Time-to-detection Occupancy Models
occuCOP()	Fit the occupancy model using count data
Abundance models
occuRN()	Fit the occupancy model of Royle and Nichols (2003)
pcount()	Fit the N-mixture model of Royle (2004)
distsamp()	Fit the hierarchical distance sampling model of Royle et al. (2004)
multinomPois()	Multinomial-Poisson Mixtures Model
gpcount()	Generalized binomial N-mixture model for repeated count data
gmultmix()	Generalized multinomial N-mixture model
gdistsamp()	Fit the generalized distance sampling model of Chandler et al. (2011).
gdistremoval()	Fit the combined distance and removal model of Amundson et al. (2014).
pcountOpen()	Fit the open N-mixture models of Dail and Madsen (2011) and Hostetler and Chandler (2015)
distsampOpen()	Open population model for distance sampling data
multmixOpen()	Open population multinomial N-mixture model
nmixTTD()	Fit the N-mixture Time-to-detection Model of Strebel et al. (2021)
IDS()	Fit the integrated distance sampling model of Kery et al. (2022).
pcount.spHDS()	Fit spatial hierarchical distance sampling model.
Study design
simulate(<unmarkedFit>) simulate(<unmarkedFrame>)	Simulate datasets from any unmarked model type
powerAnalysis(<unmarkedFrame>) powerAnalysis(<list>)	Conduct a power analysis for an unmarked model
Model criticism
vif()	Compute Variance Inflation Factors for an unmarkedFit Object.
fitted(<unmarkedFit>)	Calculate fitted (expected) values from a model
residuals(<unmarkedFit>)	Calculate residuals from a model
fitList()	Create a list of fitted unmarked models
crossVal(<unmarkedFit>) crossVal(<unmarkedFitList>)	Cross-validation methods for fitted unmarked models and fit lists
modSel	Model selection on a list of unmarked model fits
simulate(<unmarkedFit>) simulate(<unmarkedFrame>)	Simulate datasets from any unmarked model type
parboot(<unmarkedFit>)	Parametric bootstrap for unmarked models
nonparboot(<unmarkedFit>)	Get non-parametric bootstrap samples from an unmarked model
Model results
predict(<unmarkedFit>) predict(<unmarkedFitOccuMulti>) predict(<unmarkedFitOccuMS>) predict(<unmarkedFitList>) predict(<unmarkedRanef>)	Predict from fitted models and other unmarked objects
ranef(<unmarkedFit>)	Estimate posterior distributions of latent occupancy or abundance
bup(<unmarkedRanef>)	Extract Best Unbiased Predictors (BUPs) of latent variables from ranef output
posteriorSamples(<unmarkedRanef>) posteriorSamples(<unmarkedFit>)	Draw samples from the posterior predictive distribution
plotEffects(<unmarkedFit>) plotEffectsData(<unmarkedFit>)	Plot marginal effects of covariates in unmarked models
randomTerms(<unmarkedEstimate>) randomTerms(<unmarkedFit>)	Extract estimates of random effect terms
sigma(<unmarkedEstimate>) sigma(<unmarkedFit>)	Extract estimates of random effect standard deviations
Organize data
unmarkedFrameDS()	Organize data for the distance sampling model of Royle et al. (2004) fit by distsamp
unmarkedFrameOccu()	Organize data for the single season occupancy models fit by occu and occuRN
unmarkedFrameOccuComm()	Organize data for the community occupancy model fit by occuComm
unmarkedFrameOccuFP()	Organize data for the single season occupancy models fit by occuFP
unmarkedFrameOccuMulti()	Organize data for the multispecies occupancy model fit by occuMulti
unmarkedFramePCount()	Organize data for the N-mixture model fit by pcount
unmarkedFrameMPois()	Organize data for the multinomial-Poisson mixture model of Royle (2004) fit by multinomPois
unmarkedFrameOccuCOP()	Organize data for the occupancy model using count data fit by occuCOP
unmarkedFrameOccuMS()	Organize data for the multi-state occupancy model fit by occuMS
unmarkedFrameOccuTTD()	Create an unmarkedFrameOccuTTD object for the time-to-detection model fit by occuTTD
unmarkedFramePCO()	Create an object of class unmarkedFramePCO that contains data used by pcountOpen.
unmarkedFrameGDR()	Organize data for the combined distance and removal point-count model of Amundson et al. (2014) fit by gdistremoval
unmarkedMultFrame() unmarkedFrameGMM() unmarkedFrameGDS() unmarkedFrameGPC()	Create an unmarkedMultFrame, unmarkedFrameGMM, unmarkedFrameGDS, or unmarkedFrameGPC object
unmarkedFrameMMO()	Create an object of class unmarkedFrameMMO that contains data used by multmixOpen.
unmarkedFrameDSO()	Create an object of class unmarkedFrameDSO that contains data used by distsampOpen.
Datasets
birds	BBS Point Count and Occurrence Data from 2 Bird Species
crossbill	Detection/non-detection data on the European crossbill (Loxia curvirostra)
cruz	Landscape data for Santa Cruz Island
frogs	2001 Delaware North American Amphibian Monitoring Program Data
gf	Green frog count index data
issj	Distance-sampling data for the Island Scrub Jay (Aphelocoma insularis)
jay	European Jay data from the Swiss Breeding Bird Survey 2002
linetran	Simulated line transect data
mallard	Mallard count data
masspcru	Massachusetts North American Amphibian Monitoring Program Data
MesoCarnivores	Occupancy data for coyote, red fox, and bobcat
ovendata	Removal data for the Ovenbird
pointtran	Simulated point-transect data
Switzerland	Swiss landscape data