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BBRecapture (version 0.2)

Bayesian Behavioural Capture-Recapture Models

Description

Model fitting of flexible behavioural recapture models based on conditional probability reparameterization and meaningful partial capture history quantification also referred to as meaningful behavioural covariate.

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Version

Install

install.packages('BBRecapture')

Monthly Downloads

27

Version

0.2

License

GPL-2

Maintainer

Danilo Alunni Fegatelli

Last Published

February 14th, 2020

Functions in BBRecapture (0.2)

list.historylabels

List all the observable partial capture histories
LBRecap.all

Standard behavioural and time effect models via unconditional (complete) likelihood approach
lizard

Lizard Dataset
LBRecap.custom.part

Unconditional likelihood inference for behavioural effect models based on an ad-hoc partition of the set of all partial capture histories
pch

Partial Capture Histories from a Binary Data Matrix
rissanen

Rissanen's universal prior for integers
quant

Quantification of binary capture histories
hornedlizard

Flat-tailed Horned Lizard Dataset
LBRecap

Unconditional (complete) likelihood inference for capture-recapture analysis with emphasis on behavioural effect modelling
greatcopper

Great-Copper butterfly data
BBRecap

Bayesian inference for capture-recapture analysis with emphasis on behavioural effect modelling
mouse

Mouse (Microtus Pennsylvanicus) Dataset
partition.ch

Partition of partial capture histories according to equivalence classes of numerical quantification corresponding to supplied intervals
BBRecap.all

Comparative Bayesian analysis of alternative flexible behavioural and time effect models
BBRecap.custom.part

Bayesian inference for behavioural effect models based on a partition of the set of all partial capture histories