NEWS.md

In bayesmove: Non-Parametric Bayesian Analyses of Animal Movement

bayesmove 0.2.1 (2021-10-07)

• Greatly improved speed of segmentation model by adding internal function summarize1 in C++ and updated get_summary_stats().
• Updated shiny_tracks by improving responsiveness to changes in the time window, adding a data table with options to filter, and the ability to explore the time series and map of multiple IDs at once.
• Updated traceplot() to automatically determine the number of MCMC iterations and add a line denoting the burn-in period.
• Updated progress bar in segment_behavior() to prevent it from disappearing.

bayesmove 0.2.0 (2021-04-26)

• Add cluster_obs() function to make observation-level inference of behavioral states.
• Add Shiny app as shiny_tracks() function to dynamically explore telemetry data within and among individuals.
• Add insert_NAs() function to insert NAs for creation of regular time series.
• Export get_MAP_internal() function for use within workflow for observation-level behavior estimation using cluster_obs().
• Update assign_tseg_internal() to account for non-consecutive time1 variable.
• Update plot_breakpoints_behav() to account for non-consecutive time variable.
• Update some function arguments to be compatible with {furrr} package (>= 0.2.0).
• Update API for viewing progress bar in segment_behavior() via {progressr}.
• Update prep_data() to also calculate net-squared displacement
• Update method by which round_track_time() calculates new date and add argument for units

bayesmove 0.1.0 (2020-09-21)

• First release of bayesmove package.

bayesmove 0.0.0.9000 (2020-06-02)

• Bayesmove package in development.

bayesmove documentation built on Oct. 22, 2021, 9:08 a.m.