Integrating a stratified structure in the population in a sampling design can considerably reduce the variance of the Horvitz-Thompson estimator. We propose in this package different methods to handle the selection of a balanced sample in stratified population. For more details see Raphaël Jauslin, Esther Eustache and Yves Tillé (2021) <doi:10.1007/s42081-021-00134-y>. The package propose also a method based on optimal transport and balanced sampling, see Raphaël Jauslin and Yves Tillé <doi:10.1016/j.jspi.2022.12.003>.

Provides functions for stratified sampling and assigning custom labels to data, ensuring randomness within groups. The package supports various sampling methods such as stratified, cluster, and systematic sampling. It allows users to apply transformations and customize the sampling process. This package can be useful for statistical analysis and data preparation tasks.

Includes bases for litholog generation: graphical functions
    based on R base graphics, interval management functions and svg importation 
    functions among others. Also include stereographic projection functions, 
    and other functions made to deal with large datasets while keeping options
    to get into the details of the data.
    When using for publication please cite 
    Sebastien Wouters, Anne-Christine Da Silva, Frederic Boulvain and 
    Xavier Devleeschouwer, 2021. The R Journal 13:2, 153-178.
    The palaeomagnetism functions are based on:
    Tauxe, L., 2010. Essentials of Paleomagnetism. University of California 
    Press. <https://earthref.org/MagIC/books/Tauxe/Essentials/>;
    Allmendinger, R. W., Cardozo, N. C., and Fisher, D., 2013, Structural 
    Geology Algorithms: Vectors & Tensors: Cambridge, England, Cambridge
    University Press, 289 pp.;
    Cardozo, N., and Allmendinger, R. W., 2013, Spherical projections
    with OSXStereonet: Computers & Geosciences, v. 51, no. 0, p. 193 - 205,
    <doi: 10.1016/j.cageo.2012.07.021>.

The fossil record is a joint expression of ecological, taphonomic, 
    evolutionary, and stratigraphic processes (Holland and Patzkowsky, 2012, ISBN:978-0226649382).
    This package allowing to simulate biological processes in the time domain
    (e.g., trait evolution, fossil abundance, phylogenetic trees), and examine how their expression
    in the rock record (stratigraphic domain) is influenced based on 
    age-depth models, ecological niche models, and taphonomic effects.
    Functions simulating common processes used in modeling trait evolution, biostratigraphy or 
    event type data such as first/last occurrences are provided and can be used 
    standalone or as part of a pipeline. The package comes with example 
    data sets and tutorials in several vignettes, which can be used as a 
    template to set up one's own simulation.