Proper L2-penalized maximum likelihood estimators for precision 
  matrices and supporting functions to employ these estimators in a graphical 
  modeling setting. For details, see Peeters, Bilgrau, & van Wieringen (2022) 
  <doi:10.18637/jss.v102.i04> and associated publications.

Algorithms to price American and European equity options,
    convertible bonds and a variety of other financial derivatives. It
    uses an extension of the usual Black-Scholes model in which jump to
    default may occur at a probability specified by a power-law link
    between stock price and hazard rate as found in the paper by
    Takahashi, Kobayashi, and Nakagawa (2001)
    <doi:10.3905/jfi.2001.319302>.  We use ideas and techniques from
    Andersen and Buffum (2002) <doi:10.2139/ssrn.355308> and Linetsky
    (2006) <doi:10.1111/j.1467-9965.2006.00271.x>.

A modified implementation of stepwise regression that greedily searches 
    the space of interactions among features in order to build polynomial regression models.
    Furthermore, the hypothesis tests conducted are valid-post model selection
    due to the use of a revisiting procedure that implements an alpha-investing
    rule. As a result, the set of rejected sequential hypotheses is proven to 
    control the marginal false discover rate. When not searching for polynomials,
    the package provides a statistically valid algorithm
    to run and terminate stepwise regression. For more information, see 
    Johnson, Stine, and Foster (2019) <arXiv:1510.06322>.

Visualizing functional data and identifying functional outliers.

By using 'RAINBOWR' (Reliable Association INference By Optimizing Weights with R), users can test multiple SNPs (Single Nucleotide Polymorphisms) simultaneously by kernel-based (SNP-set) methods. This package can also be applied to haplotype-based GWAS (Genome-Wide Association Study). Users can test not only additive effects but also dominance and epistatic effects. In detail, please check our paper on PLOS Computational Biology: Kosuke Hamazaki and Hiroyoshi Iwata (2020) <doi:10.1371/journal.pcbi.1007663>.