Cross-validation methods for fitted unmarked models and fit lists
Distance-sampling detection functions and associated density functions
Convert between wide and long data formats.
Methods for Function getB in Package `unmarked'
constructor of unmarkedFitList objects
Generalized binomial N-mixture model for repeated count data
Bin distance data
Create unmarkedMultFrame from Long Format Data Frame
Compute the penalty weight for the MPLE penalized likelihood method
Methods for Function SE in Package `unmarked'
Methods for Function confint in Package `unmarked'
Fit the dynamic occupancy model of MacKenzie et. al (2003)
Occupancy data for coyote, red fox, and bobcat
Fit the MacKenzie et al. (2002) Occupancy Model
Fit the hierarchical distance sampling model of Royle et al. (2004)
Methods for Function coef in Package `unmarked'
Methods for Function fitted in Package `unmarked'
Methods for bracket extraction [ in Package `unmarked'
Methods for Function getP in Package `unmarked'
Methods for Function getFP in Package `unmarked'
Compute Sum of Squared Residuals for a Model Fit.
BBS Point Count and Occurrence Data from 2 Bird Species
Open population model for distance sampling data
2001 Delaware North American Amphibian Monitoring Program Data
Fit multi-scale occupancy models
A function to impute missing entries in continuous obsCovs
Generalized multinomial N-mixture model
Nonparametric bootstrapping in unmarked
Methods for Function backTransform in Package `unmarked'
Identify Optimal Penalty Parameter Value
Convert Poisson mean (lambda) to probability of occurrence (psi).
Removal data for the Ovenbird
Green frog count index data
Fit Single-Season and Dynamic Multi-State Occupancy Models
European Jay data from the Swiss Breeding Bird Survey 2002
Swiss landscape data
Fit the Rota et al. (2016) Multi-species Occupancy Model
Fit the combined distance and removal model of Amundson et al. (2014).
Multinomial-Poisson Mixtures Model
Fit the occupancy model using count dta
Fit the generalized distance sampling model of Chandler et al. (2011).
Draw samples from the posterior predictive distribution
Create functions to compute multinomial cell probabilities
Fit spatial hierarchical distance sampling model.
Extract estimates of random effect terms
Methods for Function linearComb in Package `unmarked'
Fit the open N-mixture models of Dail and Madsen and extensions
Fit the MacKenzie et al. (2002) Occupancy Model with the penalized likelihood methods of Hutchinson et al. (2015) using cross-validation
Fit the MacKenzie et al. (2002) Occupancy Model with the penalized likelihood methods of Hutchinson et al. (2015)
Conduct a power analysis on an unmarked model
Mallard count data
Models for Data from Unmarked Animals
Methods for Function ranef
in Package unmarked
Open population multinomial N-mixture model
Fit occupancy models when false positive detections occur (e.g., Royle and Link [2006]
and Miller et al. [2011])
Fit N-mixture Time-to-detection Models
Fit Single-Season and Dynamic Time-to-detection Occupancy Models
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
Methods for Function predict in Package `unmarked'
Class "unmarkedFitList"
Landscape data for Santa Cruz Island
Simulated point-transect data
Massachusetts North American Amphibian Monitoring Program Data
Simulated line transect data
Class "unmarkedEstimate"
Fit the occupancy model of Royle and Nichols (2003)
Convert .CSV File to an unmarkedFrame
Model selection results from an unmarkedFitList
Organize data for the distance sampling model of Royle et al. (2004)
fit by distsamp
Distance-sampling data for the Island Scrub Jay (Aphelocoma
insularis )
Methods for Function simulate in Package `unmarked'
Class "unmarkedFrame"
Create an unmarkedFrame, or one of its child classes.
Organize data for the single season occupancy models fit by occuFP
Organize data for the single season occupancy models fit by occu and
occuRN
Organize data for the occupancy model using count data fit by occuCOP
Parametric bootstrap method for fitted models inheriting class.
Fit the N-mixture model of Royle (2004)
Compute multinomial cell probabilities
Create an object of class unmarkedFrameDSO that contains data used by distsampOpen.
Class "unmarkedFit"
unmarkedEstimateList-class
Class "unmarkedEstimateList"
Organize data for the multinomial-Poisson mixture model of Royle (2004)
fit by multinomPois
Create an object of class unmarkedFrameMMO that contains data used by multmixOpen.
Organize data for the multi-state occupancy model fit by occuMS
Create an unmarkedMultFrame, unmarkedFrameGMM, unmarkedFrameGDS,
or unmarkedFrameGPC object
Methods for unmarkedPower objects
Create an object of class unmarkedFramePCO that contains data used by pcountOpen.
Organize data for the multispecies occupancy model fit by occuMulti
Plot marginal effects of covariates in unmarked models
Organize data for the combined distance and removal point-count model of
Amundson et al. (2014) fit by gdistremoval
Compute Variance Inflation Factors for an unmarkedFit Object.
Methods for Function vcov in Package `unmarked'
Create an unmarkedFrameOccuTTD object for the time-to-detection model
fit by occuTTD
Organize data for the N-mixture model fit by pcount
Create or summarize a series of unmarked power analyses
Class "unmarkedRanef"
Detection/non-detection data on the European crossbill (Loxia
curvirostra )