A collection of measures for measuring ecological diversity.
  Ecological diversity comes in two flavors: alpha diversity measures the
  diversity within a single site or sample, and beta diversity measures the
  diversity across two sites or samples. This package overlaps considerably
  with other R packages such as 'vegan', 'gUniFrac', 'betapart', and 'fossil'.
  We also include a wide range of functions that are implemented in software
  outside the R ecosystem, such as 'scipy', 'Mothur', and 'scikit-bio'.  The
  implementations here are designed to be basic and clear to the reader.

Performs augmented backward elimination and checks the stability of the obtained model. Augmented backward elimination combines significance or information based criteria with the change in estimate to either select the optimal model for prediction purposes or to serve as a tool to obtain a practically sound, highly interpretable model. More details can be found in Dunkler et al. (2014) <doi:10.1371/journal.pone.0113677>.

Detect several types of aberrant behavior, including answer
    copying, answer similarity, nonparametric misfit, parametric misfit,
    preknowledge, rapid guessing, and test tampering.

Extremely efficient toolkit for solving the best subset selection problem <https://www.jmlr.org/papers/v23/21-1060.html>. This package is its R interface. The package implements and generalizes algorithms designed in <doi:10.1073/pnas.2014241117> that exploits a novel sequencing-and-splicing technique to guarantee exact support recovery and globally optimal solution in polynomial times for linear model. It also supports best subset selection for logistic regression, Poisson regression, Cox proportional hazard model, Gamma regression, multiple-response regression, multinomial logistic regression, ordinal regression, (sequential) principal component analysis, and robust principal component analysis. The other valuable features such as the best subset of group selection <doi:10.1287/ijoc.2022.1241> and sure independence screening <doi:10.1111/j.1467-9868.2008.00674.x> are also provided.