Allows to easily create high-performance full featured HTTP APIs from R
  functions. Provides high-level classes such as 'Request', 'Response',
  'Application', 'Middleware' in order to streamline server side
  application development. Out of the box allows to serve requests using
  'Rserve' package, but flexible enough to integrate with other HTTP servers
  such as 'httpuv'.

Allows wrapping values in success() and failure() types to capture 
    the result of operations, along with any status codes. Risky expressions can be 
    wrapped in as_result() and functions wrapped in result() to catch errors
    and assign the relevant result types. Monadic functions can be bound together 
    as pipelines or transaction scripts using then_try(), to gracefully handle 
    errors at any step.

Using a CSV, LaTeX and R to easily build attractive resumes.

Implements the regularized exponentially tilted empirical 
    likelihood method. Details of the methods are given in Kim, MacEachern, and 
    Peruggia (2023) <doi:10.48550/arXiv.2312.17015>. This work was supported by 
    the U.S. National Science Foundation under Grants No. SES-1921523 and 
    DMS-2015552.

Implementation of the race/ethnicity prediction method, described 
    in "rethnicity: An R package for predicting ethnicity from names" 
    by Fangzhou Xie (2022) <doi:10.1016/j.softx.2021.100965> and 
    "Rethnicity: Predicting Ethnicity from Names" by Fangzhou Xie (2021) <arXiv:2109.09228>.

Interface to 'Python' modules, classes, and functions. When calling
    into 'Python', R data types are automatically converted to their equivalent 'Python'
    types. When values are returned from 'Python' to R they are converted back to R
    types. Compatible with all versions of 'Python' >= 2.7.

Generates disease-specific drug-response profiles that are independent of time, concentration, and cell-line. Based on the cell lines used as surrogates, the returned profiles represent the unique transcriptional changes induced by a compound in a given disease.