Title: Animal track reconstruction for high frequency 2-dimensional
(2D) or 3-dimensional (3D) movement data.
Description: 2D and 3D animal tracking data can be used to reconstruct tracks through time/space with correction based on known positions. 3D visualization of animal position and attitude.

Authors@R: c( person("Joe", "Champion", email = "joechampion@boisestate.edu", role = c("aut", "cre")), person("Thea", "Sukianto", email = "TheophiliaSukian@u.boisestate.edu", role=c("aut")), person("Chithkala", "Dhulipati", email = "chithkaladhulipa@u.boisestate.edu", role=c("aut")) )
Description: Utilities for spatial-temporal analysis and visualization of animal (e.g. cattle)
tracking data. The core feature is a 'shiny' web application for customized processing
of GPS logs, including features for data augmentation (e.g. elevation lookup), data selection,
export, plotting, and statistical summaries. A data validation application allows for side-by-side
comparison via time series plots and extreme value detection described by
shinycssloaders (>= 0.2.0), shinythemes (>= 1.1.2), leaflet (>=
Packaged: 2020-03-21 23:53:01 UTC; THEOPHILIASUKIAN

Authors@R: c( person("Joe", "Champion", email = "joechampion@boisestate.edu", role = c("aut", "cre")), person("Thea", "Sukianto", email = "TheophiliaSukian@u.boisestate.edu", role=c("aut")) )
Description: Utilities for spatial-temporal analysis and visualization of animal (e.g. cattle) tracking data. The core feature is a 'shiny' web application for customized processing of GPS logs, including features for data augmentation (e.g. elevation lookup), data selection, export, plotting, and statistical summaries. A data validation application allows for side-by-side comparison via time series plots and extreme value detection described by J.P. van Brakel <https://stackoverflow.com/questions/22583391/peak-signal-detection-in-realtime-timeseries-data/>.
leaflet (>= 2.0.2), leaflet.extras (>= 1.0.0), dplyr (>=
Packaged: 2020-11-17 00:05:53 UTC; tsukianto

Title: Demonstrate Animations in Statistics
Description: This package consists of various functions for animations in statistics, covering many areas such as probability theory, mathematical statistics, multivariate statistics, nonparamatric statstics, sampling survey, linear models, time series, computational statistics, data mining and machine learning. These functions might be of help in teaching statistics and data analysis.