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animalEKF
View on CRAN: Click
here
Download and install animalEKF package within the R console
Install from CRAN:
install.packages("animalEKF")
Install from Github:
library("remotes")
install_github("cran/animalEKF")
Install by package version:
library("remotes")
install_version("animalEKF", "1.2")
Attach the package and use:
library("animalEKF")
Maintained by
Samuel Ackerman
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-10-05
Latest Update: 2023-09-29
Description:
Synthetic generation of 1-D and 2-D correlated random walks (CRWs) for animal movement with behavioral switching, and particle filter estimation of movement parameters from observed trajectories using Extended Kalman Filter (EKF) model. See Ackerman (2018) .
How to cite:
Samuel Ackerman (2020). animalEKF: Extended Kalman Filters for Animal Movement. R package version 1.2, https://cran.r-project.org/web/packages/animalEKF. Accessed 21 Nov. 2024.
Previous versions and publish date:
1.1 (2020-10-05 13:50)
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imports, suggests or enhances
Complete documentation for animalEKF
Functions, R codes and Examples using
the animalEKF R package
Some associated functions: EKF_1d_interp_joint . EKF_interp_joint . animalEKF-package . bc_longlat_map . bc_longlat_map_img_ras . cdlm_robot . cdlm_robot_twostate . cdlm_robot_twostate2D . low_var_sample . make_segments . normalize_angle . rug_multicolor . shark_data_longlat . shark_data_raw . shark_vis_longlat . sim_trajectory_joint . spline_interp . tess2spat .
Some associated R codes: cdlm_robot.R . cdlm_robot_funcs.R . cdlm_robot_twostate.R . make_segments.R . rug_multicolor.R . shark_vis_longlat.R . Full animalEKF package functions and examples
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