BBRecapture v0.2

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Bayesian Behavioural Capture-Recapture Models

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.

Functions in BBRecapture

Name Description
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
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Details

Date 2020-02-13
Type Package
License GPL-2
Encoding UTF-8
LazyData true
RoxygenNote 7.0.2
NeedsCompilation no
Packaged 2020-02-13 18:43:26 UTC; lucatardella
Repository CRAN
Date/Publication 2020-02-14 13:10:02 UTC

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