CumSumInv               Internal function that calculates the inverted
                        cumsum
SampleZAgg              Internal function that samples z1 aggregate
StoreZ                  This function helps store z from all iterations
                        after burn in
SummarizeDat            Internal function that generates nmat matrix to
                        help with multinomial draws
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
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_MAP                 Find the maximum a posteriori (MAP) estimate of
                        the MCMC chain
get_behav_hist          Extract bin estimates from Latent Dirichlet
                        Allocation or mixture model
get_breakpts            Extract breakpoints for each animal ID
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
samp_move               Internal function for the Gibbs sampler within
                        the reversible-jump MCMC algorithm
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)
segment_behavior        Segmentation model to estimate breakpoints
shiny_tracks            Dynamically explore tracks within Shiny app
summarize1              Internal function that summarizes bin
                        distributions of track segments
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.
