Provides functions for attaching tags to R objects,
    searching for objects based on tags, and removing tags from objects.
    It also includes a function for removing all tags from an object, as well
    as a function for deleting all objects with a specific tag from the R
    environment. The package is useful for organizing and managing large
    collections of objects in R.

High-resolution movement-sensor tags typically include accelerometers 
    to measure body posture and sudden movements or changes in speed, 
    magnetometers to measure direction of travel, and pressure sensors
    to measure dive depth in aquatic or marine animals. The sensors in these tags usually sample many times per second. Some tags include sensors for speed, turning rate (gyroscopes), and sound. This package provides software tools to facilitate calibration, processing, and analysis of such data. Tools are provided for: data import/export; 
    calibration (from raw data to calibrated data in scientific units); 
    visualization (for example, multi-panel time-series plots); 
    data processing (such as event detection, calculation of derived metrics like jerk and 
    dynamic acceleration, dive detection, and dive parameter calculation); and statistical analysis (for example, track reconstruction, a rotation test, and Mahalanobis distance analysis).

Functions and example files to calculate the tRNA adaptation index,
  a measure of the level of co-adaptation between the set of tRNA genes and the 
  codon usage bias of protein-coding genes in a given genome. The methodology is
  described in dos Reis, Wernisch and Savva (2003) <doi:10.1093/nar/gkg897>, and 
  dos Reis, Savva and Wernisch (2004) <doi:10.1093/nar/gkh834>.

The function TailClassifier() suggests one of the following types of tail for your discrete data: 1) Power decaying tail; 2) Sub-exponential decaying tail; and 3) Near-exponential decaying tail. The function also provides an estimate of the parameter for the classified-distribution as a reference.