behavioral observations for e.g model building purposes.
Packaged: Wed Apr 1 04:47:34 2009; rforge

Title: Compare Activity Patterns with Activity Probability Density
Description: Calculation and analyses of Activity Probability Density (APD) for comparing animal activity patterns
with automated Bayesian model selection using 'STAN'. See Campbell et al. (in press) "A new approach to comparing
animal temporal activity: a more informative, robust, and flexible method that controls for nested data, quantifies
relationship asymmetries, and allows linear modelling of temporal behaviour."
Imports: brms, circular, overlap, graphics, stats, loo, ggplot2,
Author: Liz AD Campbell [aut, cre] (<https://orcid.org/0000-0002-8302-7430>)
Maintainer: Liz AD Campbell <liz.campbell@zoo.ox.ac.uk>

Title: Networks Characterising the Physical Configurations of Animal
Description: Functions for generating and visualising networks for characterising the physical attributes and spatial organisations of habitat components (i.e. habitat physical configurations). The network generating algorithm first determines the X and Y coordinates of N nodes within a rectangle with a side length of L and an area of A. Then it computes the pair-wise Euclidean distance Dij between node i and j, and then a complete network with 1/Dij as link weights is constructed. Then, the algorithm removes links from the complete network with the probability as shown in the function ahn_prob(). Such link removals can make the network disconnected whereas a connected network is wanted. In such cases, the algorithm rewires one network component to its spatially nearest neighbouring component and repeat doing this until the network is connected again. Finally, it outputs an undirected network (weighted or unweighted, connected or disconnected). This package came with a manuscript on modelling the physical configurations of animal habitats using networks (in preparation).
Imports: stats, igraph (>= 1.2.4.1), ggplot2 (>= 3.2.0)
Author: Peng He [aut, cre] (<https://orcid.org/0000-0002-7176-701X>),