Package index • patter

All functions

model_move_xy() model_move_xyz() model_move_cxy() model_move_cxyz(): Movement models

model_obs_acoustic_logis_trunc() model_obs_depth_uniform_seabed() model_obs_depth_normal_trunc_seabed() model_obs_container(): Observation models

State .state state StateXY StateXYZ StateCXY StateCXYZ: States

assemble_timeline() assemble_acoustics() assemble_archival() assemble_custom() assemble_xinit_containers() assemble_acoustics_containers() assemble_containers(): 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_detections dat_archival dat_gebco() dat_coast() dat_mpa(): 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() bw.h() 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

pf_plot_xy(): Deprecated functions

julia_progress(): patter options: progress

patter-package patter: patter: particle algorithms for animal movement

patter_run() patter_run_expensive(): Examples: run code

pf_filter(): PF: particle filter

pf_particles-class: PF: pf_particles objects

set_vmap() pf_smoother_two_filter(): PF: two-filter smoother

plot(<ModelMoveXY>) plot(<ModelMoveXYZ>) plot(<ModelMoveCXY>) plot(<ModelMoveCXYZ>): Movement model plots

plot(<ModelObsAcousticLogisTrunc>) plot(<ModelObsDepthUniformSeabed>) plot(<ModelObsDepthNormalTruncSeabed>) plot(<ModelObsContainer>): Observation model plots

plot_xyt(): Plots: plot coordinates (x, y, t)

set_map(): Julia: set the map(s)

set_seed(): Julia: set the seed

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