Estimation and regularization for covariance matrix of asset
    returns. For covariance matrix estimation, three major types of factor
    models are included: macroeconomic factor model, fundamental factor model and
    statistical factor model. For covariance matrix regularization, four regularized
    estimators are included: banding, tapering, hard-thresholding and soft-
    thresholding. The tuning parameters of these regularized estimators are selected
    via cross-validation.

Generate decision tables and simulate operating characteristics
    for phase I dose-finding designs to enable objective comparison across
    methods. Supported designs include the traditional 3+3, Bayesian Optimal
    Interval (BOIN) (Liu and Yuan (2015) <doi:10.1158/1078-0432.CCR-14-1526>),
    modified Toxicity Probability Interval-2 (mTPI-2) (Guo et al. (2017)
    <doi:10.1002/sim.7185>), interval 3+3 (i3+3) (Liu et al. (2020)
    <doi:10.1177/0962280220939123>), and Generalized 3+3 (G3). Provides
    visualization tools for comparing decision rules and operating
    characteristics across multiple designs simultaneously.

Provides tools to estimate the genome size of polyploid species using k-mer frequencies. This package includes functions to process k-mer frequency data and perform genome size estimation by fitting k-mer frequencies with a normal distribution model. It supports handling of complex polyploid genomes and offers various options for customizing the estimation process. The basic method 'findGSE' is detailed in Sun, Hequan, et al. (2018) <doi:10.1093/bioinformatics/btx637>.

Creates a HTML widget which displays the results of searching
    for a pattern in files in a given folder. The results can be viewed in 
    the 'RStudio' viewer pane, included in a 'R Markdown' document or in a 
    'Shiny' application. Also provides a 'Shiny' application allowing to run 
    this widget and to navigate in the files found by the search. Instead of
    creating a HTML widget, it is also possible to get the results of the 
    search in a 'tibble'. The search is performed by the 'grep' command-line 
    utility.