Function reference • patter

All functions
`move_xy()` `move_xyzd()`	Movement models
`ModelObs` `.model_obs` `ModelObsAcousticLogisTrunc` `ModelObsDepthUniform` `ModelObsDepthNormalTrunc`	Observation models
`State` `.state` `StateXY` `StateXYZD`	States
`assemble_timeline()` `assemble_acoustics()` `assemble_archival()`	Assemble observations
`cl_lapply()` `cl_chunk()`	Parallelisation via `lapply()`
`coa()`	COA: centres of activity
`dat_path()` `dat_coa()` `dat_pff()` `dat_pfb()` `dat_tff()`	Datasets: example algorithm outputs
`dat_moorings` `dat_acoustics` `dat_archival` `dat_gebco()`	Datasets: the MEFS project
`example_setup()`	Examples: streamline set up
`file_path()` `file_list()` `file_size()` `file_cleanup()`	Utilities: `file` helpers
`glossary`	Glossary
`julia_connect()`	Julia: connect `R` to `Julia`
`julia_validate()`	Julia: validate the `R`---`Julia` interface
`as.im.SpatRaster()` `as.owin.SpatRaster()` `as.owin.sf()` `map_dens()`	Map: point density
`map_hr_prop()` `map_hr_core()` `map_hr_home()` `map_hr_full()`	Map: animal home ranges
`map_pou()`	Map: probability-of-use
`pat_setup_data()`	`patter` set up: datasets
`patter-progress`	`patter` options: progress
`patter-package` `patter`	`patter`: particle algorithms for animal movement
`pf_filter()`	PF: particle filter
`pf_particles-class`	PF: `pf_particles` objects
`pf_plot_xy()`	PF: plot particle (`x`, `y`) locations
`pf_smoother_two_filter()`	PF: two-filter smoother
`sim_array()`	Simulation: acoustic arrays
`sim_observations()`	Simulation: observations
`sim_path_walk()`	Simulation: movement walks
`skill_mb()` `skill_me()` `skill_rmse()` `skill_R()` `skill_d()`	Skill: evaluation metrics

Reference

All functions