Use machine learning algorithms and advanced geographic information system tools to
    build Species Distribution Modeling in a extensible and modern fashion.

We provide a toolbox to fit a continuous-time fractionally integrated ARMA process (CARFIMA) on univariate and irregularly spaced time series data via both frequentist and Bayesian machinery. A general-order CARFIMA(p, H, q) model for p>q is specified in Tsai and Chan (2005) <doi:10.1111/j.1467-9868.2005.00522.x> and it involves p+q+2 unknown model parameters, i.e., p AR parameters, q MA parameters, Hurst parameter H, and process uncertainty (standard deviation) sigma. Also, the model can account for heteroscedastic measurement errors, if the information about measurement error standard deviations is known. The package produces their maximum likelihood estimates and asymptotic uncertainties using a global optimizer called the differential evolution algorithm. It also produces posterior samples of the model parameters via Metropolis-Hastings within a Gibbs sampler equipped with adaptive Markov chain Monte Carlo. These fitting procedures, however, may produce numerical errors if p>2. The toolbox also contains a function to simulate discrete time series data from CARFIMA(p, H, q) process given the model parameters and observation times.

A framework is provided to develop R packages using 'Rust' <https://www.rust-lang.org/> with
 minimal overhead, and more wrappers are easily added. Help is provided to use 'Cargo' <https://doc.rust-lang.org/cargo/> in a manner
 consistent with CRAN policies. 'Rust' code can also be embedded directly in an R script. The package is not official, affiliated with,
 nor endorsed by the Rust project.

Estimation of population size of migratory caribou herds based on large scale 
             aggregations monitored by radio telemetry. It implements the methodology found 
             in the article by Rivest et al. (1998) about caribou abundance estimation. It 
             also includes a function based on the Lincoln-Petersen Index as applied to 
             radio telemetry data by White and Garrott (1990).