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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

31

Version

1.1.4

License

GPL (>= 2)

Maintainer

Matthew W Pennell

Last Published

August 16th, 2012

Functions in capwire (1.1.4)

Convert a table of individuals into a table of class data

partitionCountData

Partition the Count Data

Convert capture counts to data frame with individuals

drawCapRatesBeta

Draw Capture Rates from Beta Distribution

Simulate data under various distributions of capture rates

Simulate Data Under Two-Innate Rates Model

drawCapRatesUnif

Draw Capture Rates from Uniform Distribution

drawCapRatesGamma

Draw Capture Rates from Gamma Distribution

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

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 Capture Count Data

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

Likelihood Ratio Test Comparing TIRM to ECM

Simulate Data Under Equal Capture Model