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capwire (version 1.1.4)

Estimates population size from non-invasive sampling

Description

Fits models from Miller et al. 2005 to estimate population sizes from natural populations. Several models are implemented. Package also includes functions to perform a likelihood ratio test to choose between models, perform parametric bootstrapping to obtain confidence intervals and multiple functions to simulate data.

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Version

Install

install.packages('capwire')

Monthly Downloads

35

Version

1.1.4

License

GPL (>= 2)

Last Published

August 16th, 2012

Functions in capwire (1.1.4)

indToClass

Convert a table of individuals into a table of class data
partitionCountData

Partition the Count Data
buildIndTable

Convert capture counts to data frame with individuals
drawCapRatesBeta

Draw Capture Rates from Beta Distribution
simCapture

Simulate data under various distributions of capture rates
simTirm

Simulate Data Under Two-Innate Rates Model
drawCapRatesUnif

Draw Capture Rates from Uniform Distribution
drawCapRatesGamma

Draw Capture Rates from Gamma Distribution
classToInd

Convert a table of capture class data into a table of individuals
fitTirm

Fit Two Innate Rates Model (TIRM)
buildClassTable

Convert capture counts to data frame with capture classes
bootstrapCapwire

Parametric Bootstrap ECM and TIRM Models
drawCapRatesGeom

Draw Capture Rates from Geometric Distribution
wombat

Wombat Capture Count Data
fitEcm

Fit Equal Capture Model (ECM)
capwire-package

Estimate Population Size from Non-Invasive Sampling
fitTirmPartition

Fit the Two Innate Rates Model After Partiioning Data
drawCapRatesExp

Draw Capture Rates from Exponential Distribution
lrtCapwire

Likelihood Ratio Test Comparing TIRM to ECM
simEcm

Simulate Data Under Equal Capture Model