Models for Data from Unmarked Animals
Class "unmarkedEstimate"
Class "unmarkedEstimateList"
Class "unmarkedFit"
Class "unmarkedFitList"
Class "unmarkedFrame"
Methods for Function linearComb in Package `unmarked'
Extract estimates of random effect terms
Estimate posterior distributions of latent occupancy or abundance
Calculate residuals from a model
Estimate posterior distributions of site richness
Methods for Function SE in Package `unmarked'
Launch a Shiny app to help with power analysis
Convert sight distance and sight angle to perpendicular distance.
Extract estimates of random effect standard deviations
Simulate datasets from any unmarked
model type
Compute Sum of Squared Residuals for a Model Fit.
Models for Data from Unmarked Animals
Create unmarkedMultFrame from Long Format Data Frame
Convert Poisson mean (lambda) to probability of occurrence (psi).
Fit the multi-species occupancy model of Rota et al. (2016)
Fit the MacKenzie et al. (2002) Occupancy Model with the penalized lik...
Fit the MacKenzie et al. (2002) Occupancy Model with the penalized lik...
Fit the occupancy model of Royle and Nichols (2003)
Fit Single-Season and Dynamic Time-to-detection Occupancy Models
Methods for Function backTransform in Package `unmarked'
Extract Best Unbiased Predictors (BUPs) of latent variables from `rane...
Methods for Function coef in Package `unmarked'
Fit the dynamic occupancy model of MacKenzie et. al (2003)
Compute the penalty weight for the MPLE penalized likelihood method
Methods for Function confint in Package `unmarked'
Cross-validation methods for fitted unmarked
models and fit lists
Convert .CSV File to an unmarkedFrame
Distance-sampling detection functions and associated density functions
Fit the hierarchical distance sampling model of Royle et al. (2004)
Open population model for distance sampling data
Methods for bracket extraction [ in Package `unmarked'
Create a list of fitted unmarked
models
Calculate fitted (expected) values from a model
Bin distance data
Convert between wide and long data formats.
Fit the combined distance and removal model of Amundson et al. (2014).
Fit the generalized distance sampling model of Chandler et al. (2011).
Methods for Function getB in Package `unmarked'
Methods for Function getFP in Package `unmarked'
Get detection probability matrix from a fitted model
Generalized multinomial N-mixture model
Fit the multi-scale occupancy model of Nichols et al. (2008)
Generalized binomial N-mixture model for repeated count data
Fit the integrated distance sampling model of Kery et al. (2022).
A function to impute missing entries in continuous obsCovs
Create functions to compute multinomial cell probabilities
Model selection on a list of unmarked
model fits
Multinomial-Poisson Mixtures Model
Open population multinomial N-mixture model
Fit the N-mixture Time-to-detection Model of Strebel et al. (2021)
Get non-parametric bootstrap samples from an unmarked
model
Fit the MacKenzie et al. (2002) Occupancy Model
Fit a community occupancy model with species-level random effects
Fit the occupancy model using count data
Fit occupancy models when false positive detections occur (e.g., Royle...
Fit Multi-State Occupancy Models (Nichols et al. 2007, MacKenzie et al...
Identify Optimal Penalty Parameter Value
Parametric bootstrap for unmarked
models
Fit the N-mixture model of Royle (2004)
Fit spatial hierarchical distance sampling model.
Fit the open N-mixture models of Dail and Madsen (2011) and Hostetler ...
Compute multinomial cell probabilities
Plot marginal effects of covariates in unmarked models
Draw samples from the posterior predictive distribution
Conduct a power analysis for an unmarked
model
Predict from fitted models and other unmarked objects
Create an unmarkedFrame, or one of its child classes.
Organize data for the distance sampling model of Royle et al. (2004) f...
Create an object of class unmarkedFrameDSO that contains data used by ...
Organize data for the combined distance and removal point-count model ...
Create an object of class unmarkedFrameMMO that contains data used by ...
Organize data for the multinomial-Poisson mixture model of Royle (2004...
Class "unmarkedRanef"
Organize data for the single season occupancy models fit by occu and o...
Organize data for the community occupancy model fit by occuComm
Organize data for the occupancy model using count data fit by `occuCOP...
Organize data for the single season occupancy models fit by occuFP
Methods for Function vcov in Package `unmarked'
Compute Variance Inflation Factors for an unmarkedFit Object.
Organize data for the multi-state occupancy model fit by occuMS
Organize data for the multispecies occupancy model fit by occuMulti
Create an unmarkedFrameOccuTTD object for the time-to-detection model ...
Create an object of class unmarkedFramePCO that contains data used by ...
Organize data for the N-mixture model fit by pcount
unmarkedModSel class and methods
Create an unmarkedMultFrame, unmarkedFrameGMM, unmarkedFrameGDS, or un...
Methods for unmarkedPower objects
Summarize a series of unmarked power analyses
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>.
Useful links