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.

Copy Link

Version

Install

install.packages('BBRecapture')

Monthly Downloads

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