Provides basic functionalities to calculate the position of
    satellites given a known state vector. The package includes implementations
    of the SGP4 and SDP4 simplified perturbation models to propagate orbital
    state vectors, as well as utilities to read TLE files and convert coordinates
    between different frames of reference. Several of the functionalities of the
    package (including the high-precision numerical orbit propagator) require
    the coefficients and data included in the 'asteRiskData' package, available
    in a 'drat' repository. To install this data package, run 
    'install.packages("asteRiskData", repos="https://rafael-ayala.github.io/drat/")'.
    Felix R. Hoots, Ronald L. Roehrich and T.S. Kelso (1988) <https://celestrak.org/NORAD/documentation/spacetrk.pdf>.
    David Vallado, Paul Crawford, Richard Hujsak and T.S. Kelso (2012) <doi:10.2514/6.2006-6753>.
    Felix R. Hoots, Paul W. Schumacher Jr. and Robert A. Glover (2014) <doi:10.2514/1.9161>.

Parsing R code is key to build tools such as linters and stylers.
    This package provides a binding to the 'Rust' crate 'ast-grep' so that one
    can parse and explore R code.

Data sets and examples from National Health and Nutritional Examination Survey (NHANES).

Routines for astrochronologic testing, astronomical time scale construction, and time series analysis <doi:10.1016/j.earscirev.2018.11.015>. Also included are a range of statistical analysis and modeling routines that are relevant to time scale development and paleoclimate analysis.

Miscellaneous astronomy functions, utilities, and data.

Contains data sets and scripts for analyzing time series in both the frequency and time domains including state space modeling as well as supporting the texts Time Series Analysis and Its Applications: With R Examples (5th ed), by R.H. Shumway and D.S. Stoffer. Springer Texts in Statistics, 2025, <DOI:10.1007/978-3-031-70584-7>, and Time Series: A Data Analysis Approach Using R (2nd ed). Chapman-Hall, 2026, <https://www.routledge.com/Time-Series-A-Data-Analysis-Approach-Using-R/Shumway-Stoffer/p/book/9781041031642>. Most scripts are designed to require minimal input to produce aesthetically pleasing output for ease of use in live demonstrations and course work.