Offers a suite of functions for converting to and from
    (atomic) vectors, matrices, data.frames, and (3D+) arrays as well
    as lists of these objects. It is an alternative to the base R
    as.<str>.<method>() functions (e.g., as.data.frame.array()) that
    provides more useful and/or flexible restructuring of R objects.
    To do so, it only works with common structuring of R objects (e.g.,
    data.frames with only atomic vector columns).

Regression-based ranking of pathogen strains with respect to their contributions to natural epidemics, using demographic and genetic data sampled in the curse of the epidemics. This package also includes the GMCPIC test.

Provides a framework for performing discrete (share-level) simulations of
  investment strategies. Simulated portfolios optimize exposure to an input signal subject
  to constraints such as position size and factor exposure. For background see L. Chincarini
  and D. Kim (2010, ISBN:978-0-07-145939-6) "Quantitative Equity Portfolio Management".

Message translation is often managed with 'po' files and the 'gettext' programme, 
    but sometimes another solution is needed. In contrast to 'po' files, a more flexible approach 
    is used as in the Fluent <https://projectfluent.org/> project with R Markdown snippets. 
    The key-value approach allows easier handling of the translated messages.

Functions for the stratigraphic analysis of phylogenetic trees.

An implementation of the stratification index proposed by Zhou (2012) <DOI:10.1177/0081175012452207>.
  The package provides two functions, srank, which returns stratum-specific
  information, including population share and average percentile rank; and strat,
  which returns the stratification index and its approximate standard error.
  When a grouping factor is specified, strat also provides a detailed decomposition
  of the overall stratification into between-group and within-group components.

Non-proportional hazard (NPH) is commonly observed in immuno-oncology studies, where the survival curves of the treatment and control groups show delayed separation. To properly account for NPH, several statistical methods have been developed. One such method is Max-Combo test, which is a straightforward and flexible hypothesis testing method that can simultaneously test for constant, early, middle, and late treatment effects. However, the majority of the Max-Combo test performed in clinical studies are unstratified, ignoring the important prognostic stratification factors. To fill this gap, we have developed an R package for stratified Max-Combo testing that accounts for stratified baseline factors. Our package explores various methods for calculating combined test statistics, estimating joint distributions, and determining the p-values.