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unmarked (version 0.9-1)

Models for Data from Unmarked Animals

Description

Unmarked 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.

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Install

install.packages('unmarked')

Monthly Downloads

7,620

Version

0.9-1

License

GPL (>= 3)

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Repository

http://github.com/ianfiske/unmarked

Homepage

http://groups.google.com/group/unmarked

Maintainer

Richard Chandler

Last Published

August 4th, 2011

Functions in unmarked (0.9-1)

Massachusetts North American Amphibian Monitoring Program Data

Model selection results from an unmarkedFitList

Removal data for the Ovenbird

Distance-sampling detection functions and associated density functions

Simulated point-transect data

Compute multinomial cell probabilities

Methods for Function getP in Package `unmarked'

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

Fit the colonization-extinction model.

Mallard count data

Convert individual-level distance data to the transect-level format required by distsamp

BBS Point Count and Occurrence Data from 2 Bird Species

Simulated line transect data

constructor of unmarkedFitList objects

Fit the N-mixture model of Royle (2004)

Convert between wide and long data formats.

Methods for bracket extraction [ in Package `unmarked'

Convert .CSV File to an unmarkedFrame

confint-methods

Methods for Function confint in Package `unmarked'

predict-methods

Methods for Function predict in Package `unmarked'

Generalized multinomial-mixture model

Methods for Function SE in Package `unmarked'

Multinomial-Poisson Mixtures Model

Green frog count index data

unmarkedFramePCO

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

unmarkedFit-class

Class "unmarkedFit"

2001 Delaware North American Amphibian Monitoring Program Data

linearComb-methods

Methods for Function linearComb in Package `unmarked'

Methods for Function coef in Package `unmarked'

Create unmarkedMultFrame from Long Format Data Frame

unmarkedMultFrame

Create an unmarkedMultFrame or an unmarkedFrameGMM.

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

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

Parametric bootstrap method for fitted models inheriting class.

A function to impute missing entries in continuous obsCovs

Methods for Function fitted in Package `unmarked'

unmarkedEstimate-class

Class "unmarkedEstimate"

Convert sight distance and sight angle to perpendicular distance.

unmarkedFrameMPois

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

unmarkedFrameOccu

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

Compute Sum of Squared Residuals for a Model Fit.

nonparboot-methods

Nonparametric bootstrapping in unmarked

unmarkedEstimateList-class

Class "unmarkedEstimateList"

unmarkedFrameDS

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

unmarkedFramePCount

Organize data for the N-mixture model fit by pcount

unmarked-package

Models for Data from Unmarked Animals

Methods for Function vcov in Package `unmarked'

Create an unmarkedFrame, or one of its child classes.

Fit the occupancy model of Royle and Nichols (2003)

unmarkedFrame-class

Class "unmarkedFrame"

Fit the open N-mixture model of Dail and Madsen

simulate-methods

Methods for Function simulate in Package `unmarked'

Fit the MacKenzie Occupancy Model