A lossless compressed data format that uses a combination 
    of the LZ77 algorithm and Huffman coding <https://www.rfc-editor.org/rfc/rfc7932>.
    Brotli is similar in speed to deflate (gzip) but offers more dense compression.

An R interface for the Brown Dog which allows researchers to leverage Brown Dog Services 
    that provides modules to identify the conversion options for a file, to convert file to appropriate
    format, or to extract data from a file. See <http://browndog.ncsa.illinois.edu/> for more information.

Bayesian estimation and variable selection for quantile regression models.

Provides the facility to calculate the Brainerd-Robinson similarity coefficient for the rows of an input table, and to calculate the significance of each coefficient based on a permutation approach; a heatmap is produced to visually represent the similarity matrix. Optionally, hierarchical agglomerative clustering can be performed and the silhouette method is used to identify an optimal number of clusters; the results of the clustering can be optionally used to sort the heatmap.

Broadly useful convenient and efficient R functions
    that bring users concise and elegant R data analyses.
    This package includes easy-to-use functions for
    (1) basic R programming
    (e.g., set working directory to the path of currently opened file;
    import/export data from/to files in any format;
    print tables to Microsoft Word);
    (2) multivariate computation
    (e.g., compute scale sums/means/... with reverse scoring);
    (3) reliability analyses and factor analyses;
    (4) descriptive statistics and correlation analyses;
    (5) t-test, multi-factor analysis of variance (ANOVA),
    simple-effect analysis, and post-hoc multiple comparison;
    (6) tidy report of statistical models
    (to R Console and Microsoft Word);
    (7) mediation and moderation analyses (PROCESS);
    and (8) additional toolbox for statistics and graphics.

Provides high-level modeling functions to define and train
    models using the 'torch' R package. Models include linear, logistic,
    and multinomial regression as well as multilayer perceptrons.