Imports: Bessel, data.table, digest, expm, fasttime, Gmedian, graphics,
pracma, raster, rgdal, shape, sp, statmod, stats, utils
Suggests: bit64, fftw, knitr, move, parallel, rmarkdown, suncalc

Suggests: animation, bit64, fftw, knitr, move, parallel, parsedate,

Suggests: animation, bit64, dplyr, fftw, knitr, move, parallel,

parsedate, quadprog, rmarkdown, sf, suncalc
Description: Functions for identifying, fitting, and applying continuous-space, continuous-time stochastic-process movement models to animal tracking data.
The package is described in Calabrese et al (2016) <doi:10.1111/2041-210X.12559>, with models and methods based on those introduced and detailed in

Authors@R: c(person("Biplab", "Paul", role = c("aut", "cre"), email = "paul.biplab497@gmail.com"), person(c("Philip", "Tzvi"), "Reiss", role = c("aut")))
Description: Implements a basis function or functional data analysis framework
for several techniques of multivariate analysis in continuous-time
setting. Specifically, we introduced continuous-time analogues of
several classical techniques of multivariate analysis, such as
principal component analysis, canonical correlation analysis,
Fisher linear discriminant analysis, K-means clustering, and so
on. Details are in Philip T Reiss and Biplab Paul (2022) "Continuous-time multivariate analysis";
James O Ramsay, Bernard W Silverman (2005) <ISBN:978-0-387-22751-1> "Functional Data Analysis";
James O Ramsay, Giles Hooker and Spencer Graves (2009) <ISBN:978-0-387-98185-7> "Functional Data Analysis with R and MATLAB".

Maintainer: Michael J. Noonan <michael.noonan@ubc.ca>
Imports: slouch, ClusterR, methods, stats, utils
Suggests: phytools, viridis, knitr, rmarkdown, nlme, progress,
Description: Functions for identifying, fitting, and applying continuous-time stochastic models to phylogenetic data.
The package is based on methods introduced in
Packaged: 2021-11-05 05:31:50 UTC; michaelnoonan

Title: Censored and Truncated Quantile Regression
Description: Estimation of quantile regression models for survival data.