`R/segmentation_helper_functions.R`

`traceplot.Rd`

Visualize trace-plots of the number of breakpoints estimated by the model as well as the log marginal likelihood (LML) for each animal ID.

traceplot(data, type)

data | A list of model results that is returned as output from |
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type | character. The type of data that are being plotted from the Bayesian segmentation model results. Takes either 'nbrks' for the number of breakpoints or 'LML' for the log marginal likelihood. |

Trace-plots for the number of breakpoints or the log marginal likelihood are displayed for each of the animal IDs that were analyzed by the segmentation model.

# \donttest{ #load data data(tracks.list) #only retain id and discretized step length (SL) and turning angle (TA) columns tracks.list2<- purrr::map(tracks.list, subset, select = c(id, SL, TA)) set.seed(1) # Define model params alpha<- 1 ngibbs<- 1000 nbins<- c(5,8) future::plan(future::multisession, workers = 3) #run all MCMC chains in parallel dat.res<- segment_behavior(data = tracks.list2, ngibbs = ngibbs, nbins = nbins, alpha = alpha)#> 4.162 sec elapsedfuture::plan(future::sequential) #return to single core #run function traceplot(data = dat.res, type = "nbrks")traceplot(data = dat.res, type = "LML")# }