Provides a set of functions for data manipulation with
    list objects, including mapping, filtering, grouping, sorting,
    updating, searching, and other useful functions. Most functions
    are designed to be pipeline friendly so that data processing with
    lists can be chained.

Listings are often part of the submission of clinical trial
    data in regulatory settings.  We provide a framework for the specific
    formatting features often used when displaying large datasets in that
    context.

A community-maintained 'R' wrapper for the 'LM Studio' command line
    interface and API. Provides functions to manage the local daemon and server,
    download and load models, and interact with Large Language Models (LLMs).

R parallel implementation of Local Outlier Factor(LOF) which uses multiple CPUs to significantly speed up the LOF computation for large datasets. (Note: The overall performance depends on the computers especially the number of the cores).It also supports multiple k values to be calculated in parallel, as well as various distance measures in addition to the default Euclidean distance.

A very lightweight package that writes out log messages in an opinionated way.
  Simpler and lighter than other logging packages, 'rlog' provides a compact feature set that
  focuses on getting the job done in a Unix-like way.

Processing logical operations such as AND/OR/NOT operations
    dynamically. It also handles nesting in the operations.

An implementation to compute an optimal adaptive allocation rule
    using deep reinforcement learning in a dose-response study
    (Matsuura et al. (2022) <doi:10.1002/sim.9247>).
    The adaptive allocation rule can directly optimize a performance metric,
    such as power, accuracy of the estimated target dose, or mean absolute error
    over the estimated dose-response curve.

The goal of 'rlowdb' is to provide a lightweight, file-based JSON database. 
    Inspired by 'LowDB' in 'JavaScript', it generates an intuitive interface for
    storing, retrieving, updating, and querying structured data without requiring a full-fledged database system. 
    Ideal for prototyping, small-scale applications, and lightweight data management needs.