Visual representations of model fit or predictive success in the form of "separation plots."  See Greenhill, Brian, Michael D. Ward, and Audrey Sacks. "The separation plot: A new visual method for evaluating the fit of binary models." American Journal of Political Science 55.4 (2011): 991-1002.

Stratigraphic ranges of fossil marine animal genera from Sepkoski's
    (2002) published compendium. No changes have been made to any taxonomic 
    names. However, first and last appearance intervals have been updated to be
    consistent with stages of the International Geological Timescale. 
    Functionality for generating a plot of Sepkoski's evolutionary fauna is also
    included. For specific details on the compendium see:
    Sepkoski, J. J. (2002). A compendium of fossil marine animal genera.
    Bulletins of American Paleontology, 363, pp. 1–560 (ISBN 0-87710-450-6).
    Access: <https://www.biodiversitylibrary.org/item/40634#page/5/mode/1up>.

Provides statistical tools for testing first-order separability in spatio-temporal point processes, that is, assessing whether the spatio-temporal intensity function can be expressed as the product of spatial and temporal components. The package implements several hypothesis tests, including exact and asymptotic methods for Poisson and non-Poisson processes. Methods include global envelope tests, chi-squared type statistics, and a novel 
 Hilbert-Schmidt independence criterion (HSIC) test, all with both block and pure permutation procedures. Simulation studies and real world examples, including the 2001 UK foot and mouth disease outbreak data, illustrate the utility of the proposed methods. The package contains all simulation studies and applications presented in Ghorbani et al. (2021) <doi:10.1016/j.csda.2021.107245> and Ghorbani et al. (2025) <doi:10.1007/s11749-025-00972-y>.

This software is useful for loading '.fasta' or '.gbk' files, and for retrieving sequences from 'GenBank' dataset <https://www.ncbi.nlm.nih.gov/genbank/>. This package allows  to detect differences or asymmetries based on nucleotide composition by using local linear kernel smoothers. Also, it is possible to draw inference about critical points (i. e. maximum or minimum points) related with the derivative curves. Additionally, bootstrap methods have been used  for estimating confidence intervals and speed computational techniques (binning techniques) have been implemented in 'seq2R'.