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unmarked (version 0.8-9)

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

0.8-9

License

GPL (>= 3)

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Maintainer

Richard Chandler

Last Published

December 23rd, 2010

Functions in unmarked (0.8-9)

SSE

Compute Sum of Squared Residuals for a Model Fit.
SE-methods

Methods for Function SE in Package `unmarked'
distsamp

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

Simulated point-transect data
imputeMissing

A function to impute missing entries in continuous obsCovs
piFuns

Compute multinomial cell probabilities
ovendata

Removal data for the Ovenbird
mallard

Mallard count data
sight2perpdist

Convert sight distance and sight angle to perpendicular distance.
fitted-methods

Methods for Function fitted in Package `unmarked'
occuRN

Fit the Occupancy model of Royle and Nichols...
colext

Fit the colonization-extinction model.
nonparboot-methods

Nonparametric bootstrapping in unmarked
linearComb-methods

Methods for Function linearComb in Package `unmarked'
pcount

Fit the N-mixture point count model...
parboot

Parametric bootstrap method for fitted models inheriting class.
simulate-methods

Methods for Function simulate in Package `unmarked'
gf

Green frog count index data
gmultmix

Generalized multinomial-mixture model
modSel

Model selection results from an unmarkedFitList
unmarkedEstimate-class

Class "unmarkedEstimate"
linetran

Simulated line transect data
birds

BBS Point Count and Occurrence Data from 2 Bird Species
frogs

2001 Delaware North American Amphibian Monitoring Program Data
multinomPois

Multinomial-Poisson Mixtures
formatMult

Create unmarkedMultFrame from Long Format Data Frame
formatDistData

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

Methods for Function confint in Package `unmarked'
coef-methods

Methods for Function coef in Package `unmarked'
masspcru

Massachusetts North American Amphibian Monitoring Program Data
unmarkedFit-class

Class "unmarkedFit"
[-methods

Methods for bracket extraction [ in Package `unmarked'
unmarked-package

Models for Data from Unmarked Animals
formatWideLong

Convert between wide and long data formats.
getP-methods

Methods for Function getP in Package `unmarked'
lambda2psi

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

Create an unmarkedFrame, or one of its child classes.
fitList

constructor of unmarkedFitList objects
unmarkedMultFrame

Create an unmarkedMultFrame or an unmarkedFrameGMM.
unmarkedFrame-class

Class "unmarkedFrame"
unmarkedEstimateList-class

Class "unmarkedEstimateList"
vcov-methods

Methods for Function vcov in Package `unmarked'
detFuns

Distance-sampling detection functions and associated density functions
occu

Fit the MacKenzie Occupancy Model
csvToUMF

Convert .CSV File to an unmarkedFrame