assign_behavior | Assign behavior estimates to observations |

assign_tseg | Add segment numbers to observations |

assign_tseg_internal | Internal function that adds segment numbers to observations |

behav_gibbs_sampler | Internal function that runs RJMCMC on a single animal ID |

behav_seg_image | Internal function that transforms a vector of bin numbers to a presence-absence matrix |

cluster_obs | Cluster observations into behavioral states |

cluster_segments | Cluster time segments into behavioral states |

CumSumInv | Internal function that calculates the inverted cumsum |

df_to_list | Convert data frame to a list by animal ID |

discrete_move_var | Discretize movement variables |

expand_behavior | Expand behavior estimates from track segments to observations |

extract_prop | Extract behavior proportion estimates for each track segment |

filter_time | Filter observations for time interval of interest |

find_breaks | Find changes for integer variable |

get.llk.mixmod | Internal function to calculate the log-likelihood for iteration of mixture model |

get.theta | Internal function to calculate theta parameter |

get_behav_hist | Extract bin estimates from Latent Dirichlet Allocation or mixture model |

get_breakpts | Extract breakpoints for each animal ID |

get_MAP | Find the maximum a posteriori (MAP) estimate of the MCMC chain |

get_MAP_internal | Internal function to find the maximum a posteriori (MAP) estimate of the MCMC chain |

get_summary_stats | Internal function that calculates the sufficient statistics for the segmentation model |

insert_NAs | Insert NA gaps to regularize a time series |

log_marg_likel | Internal function that calculates the log marginal likelihood of each model being compared |

plot_breakpoints | Plot breakpoints over a time series of each movement variable |

plot_breakpoints_behav | Internal function for plotting breakpoints over each of the data streams |

prep_data | Calculate step lengths, turning angles, net-squared displacement, and time steps |

prep_data_internal | Internal function to calculate step lengths, turning angles, and time steps |

rmultinom1 | Internal function that samples z's from a categorical distribution |

rmultinom2 | Internal function that samples z's from a multinomial distribution |

round_track_time | Round time to nearest interval |

sample.gamma.mixmod | Internal function to sample the gamma hyperparameter |

sample.phi | Internal function to sample bin estimates for each movement variable |

sample.phi.mixmod | Internal function to sample bin estimates for each movement variable |

sample.v | Internal function to sample parameter for truncated stick-breaking prior |

sample.v.mixmod | Internal function to sample parameter for truncated stick-breaking prior |

sample.z | Internal function to sample latent clusters |

sample.z.mixmod | Internal function to sample latent clusters (for observations) |

SampleZAgg | Internal function that samples z1 aggregate |

samp_move | Internal function for the Gibbs sampler within the reversible-jump MCMC algorithm |

segment_behavior | Segmentation model to estimate breakpoints |

shiny_tracks | Dynamically explore tracks within Shiny app |

StoreZ | This function helps store z from all iterations after burn in |

summarize1 | Internal function that summarizes bin distributions of track segments |

SummarizeDat | Internal function that generates nmat matrix to help with multinomial draws |

summarize_tsegs | Summarize observations within bins per track segment |

traceplot | View trace-plots of output from Bayesian segmentation model |

tracks | Simulated set of three tracks. |

tracks.list | Tracks discretized and prepared for segmentation. |

tracks.seg | Segmented tracks for all IDs. |