Display a randomly selected quote about Richard M. Stallman
 based on the collection in the 'GNU Octave' function 'fact()' which was
 aggregated by Jordi Gutiérrez Hermoso based on the (now defunct) site
 stallmanfacts.com (which is accessible only via <http://archive.org>).

Contains several useful navigation helper functions, including easily building
    folder paths, quick viewing dataframes in 'Excel', creating date vectors and changing the
    console prompt to reflect time.

'Rcpp' bindings to the native C++ implementation of MS Numpress, that provides two compression schemes for numeric data from mass spectrometers. The library provides implementations of 3 different algorithms, 1 designed to compress first order smooth data like retention time or M/Z arrays, and 2 for compressing non smooth data with lower requirements on precision like ion count arrays. Refer to the publication (Teleman et al., (2014) <doi:10.1074/mcp.O114.037879>) for more details.

Efficient algorithms for generating ensembles of robust, sparse and diverse models via robust 
             multi-model subset selection (RMSS). The robust ensembles are generated by minimizing the sum of 
             the least trimmed square loss of the models in the ensembles under constraints  for the size of 
             the models and the sharing of the predictors. Tuning parameters for the robustness, sparsity and
             diversity of the robust ensemble are selected by cross-validation.

Assemble the panels of computerized adaptive multistage testing by the 
    bottom-up and the top-down approach, and simulate the administration of the assembled 
    panels. The full documentation and tutorials are at <https://github.com/xluo11/Rmst>.
    Reference: Luo and Kim (2018) <doi:10.1111/jedm.12174>.

The parametric Bayes analysis for the 
    restricted mean survival time (RMST) with cluster effect,
    as described in Hanada and Kojima (2024) <doi:10.48550/arXiv.2406.06071>.
    Bayes estimation with random-effect and frailty-effect can be applied to 
    several parametric models useful in survival time analysis.
    The RMST under these parametric models can be computed from 
    the obtained posterior samples.