| 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... |
| 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_behav_hist | Extract bin estimates from Latent Dirichlet Allocation or... |
| get_breakpts | Extract breakpoints for each animal ID |
| get.llk.mixmod | Internal function to calculate the log-likelihood for... |
| get_MAP | Find the maximum a posteriori (MAP) estimate of the MCMC... |
| get_MAP_internal | Internal function to find the maximum a posteriori (MAP)... |
| get_summary_stats | Internal function that calculates the sufficient statistics... |
| get.theta | Internal function to calculate theta parameter |
| insert_NAs | Insert NA gaps to regularize a time series |
| log_marg_likel | Internal function that calculates the log marginal likelihood... |
| pipe | Pipe operator |
| plot_breakpoints | Plot breakpoints over a time series of each movement variable |
| plot_breakpoints_behav | Internal function for plotting breakpoints over each of the... |
| prep_data | Calculate step lengths, turning angles, net-squared... |
| prep_data_internal | Internal function to calculate step lengths, turning angles,... |
| rmultinom1 | Internal function that samples z's from a categorical... |
| rmultinom2 | Internal function that samples z's from a multinomial... |
| 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... |
| sample.phi.mixmod | Internal function to sample bin estimates for each movement... |
| sample.v | Internal function to sample parameter for truncated... |
| sample.v.mixmod | Internal function to sample parameter for truncated... |
| sample.z | Internal function to sample latent clusters |
| SampleZAgg | Internal function that samples z1 aggregate |
| sample.z.mixmod | Internal function to sample latent clusters (for... |
| samp_move | Internal function for the Gibbs sampler within the... |
| 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... |
| SummarizeDat | Internal function that generates nmat matrix to help with... |
| 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. |
