unmarked

Methods for Function SE in Package ‘unmarked’

Compute Sum of Squared Residuals for a Model Fit.

Swiss landscape data

Methods for Function backTransform in Package ‘unmarked’

BBS Point Count and Occurrence Data from 2 Bird Species

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

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

Landscape data for Santa Cruz Island

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’

constructor of unmarkedFitList objects

Methods for Function fitted in Package ‘unmarked’

Bin distance data

Create unmarkedMultFrame from Long Format Data Frame

Convert between wide and long data formats.

2001 Delaware North American Amphibian Monitoring Program Data

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’

Methods for Function getP in Package ‘unmarked’

Green frog count index data

Generalized multinomial N-mixture model

Generalized binomial N-mixture model for repeated count data

A function to impute missing entries in continuous obsCovs

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

European Jay data from the Swiss Breeding Bird Survey 2002

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

Methods for Function linearComb in Package ‘unmarked’

Simulated line transect data

Create functions to compute multinomial cell probabilities

Mallard count data

Massachusetts North American Amphibian Monitoring Program Data

Model selection results from an unmarkedFitList

Multinomial-Poisson Mixtures Model

Open population multinomial N-mixture model

Fit N-mixture Time-to-detection Models

Nonparametric bootstrapping in unmarked

Fit the MacKenzie et al. (2002) Occupancy Model

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

Fit Single-Season and Dynamic Multi-State Occupancy Models

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

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

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

Fit the occupancy model of Royle and Nichols (2003)

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

Removal data for the Ovenbird

Parametric bootstrap method for fitted models inheriting class.

Fit the N-mixture model of Royle (2004)

Fit spatial hierarchical distance sampling model.

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

Compute multinomial cell probabilities

Simulated point-transect data

Draw samples from the posterior predictive distribution

Methods for Function predict in Package ‘unmarked’

Extract estimates of random effect terms

Methods for Function ranef in Package unmarked

Convert sight distance and sight angle to perpendicular distance.

Extract estimates of random effect standard deviations

Methods for Function simulate in Package ‘unmarked’

Models for Data from Unmarked Animals

Class "unmarkedEstimate"

Class "unmarkedEstimateList"

Class "unmarkedFit"

Class "unmarkedFitList"

Create an unmarkedFrame, or one of its child classes.

Class "unmarkedFrame"

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

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

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

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

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

Organize data for the single season occupancy models fit by occuFP

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 fit by occuTTD

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

Organize data for the N-mixture model fit by pcount

Create an unmarkedMultFrame, unmarkedFrameGMM, unmarkedFrameGDS, or unmarkedFrameGPC object

Class "unmarkedRanef"

Methods for Function vcov in Package ‘unmarked’

Compute Variance Inflation Factors for an unmarkedFit Object.