'OpenAI's 'ChatGPT' <https://chat.openai.com/> coding assistant for 'RStudio'. A set 
  of functions and 'RStudio' addins that aim to help the R developer in tedious coding tasks.

Provides a flexible interface for interacting with Large Language Model ('LLM') 
    providers including 'OpenAI', 'Groq', 'Anthropic', 'DeepSeek', 'DashScope', 'Gemini', 'Grok' 
    and 'GitHub Models'. Supports both synchronous and asynchronous chat-completion APIs, with
    features such as retry logic, dynamic model selection, customizable parameters, and
    multi-message conversation handling. Designed to streamline integration with
    state-of-the-art LLM services across multiple platforms.

Evaluates stimuli using Large Language Models APIs with URL support.

Enables user interactivity with large-language models ('LLM') inside
    the 'RStudio' integrated development environment (IDE). The user can
    interact with the model using the 'shiny' app included in this package, or
    directly in the 'R' console. It comes with back-ends for 'OpenAI', 'GitHub'
    'Copilot', and 'LlamaGPT'.

Provides a modified boxplot with a new fence coefficient determined by Lin et al. (2025). The traditional fence coefficient k=1.5 in Tukey's boxplot is replaced by a coefficient based on Chauvenet's criterion, as described in their formula (9). The new boxplot can be implemented in 'base R' with function chau_boxplot(), and in 'ggplot2' with function geom_chau_boxplot().

Provides easy access to historical climate data in Canada from R.
	     Search for weather stations and download raw hourly, daily or
	     monthly weather data across Canada from 1840 to present. Implements
	     public API access as detailed at <https://climate.weather.gc.ca>.

Fast and memory-efficient (or 'cheap') tools to facilitate
    efficient programming, saving time and memory. It aims to provide
    'cheaper' alternatives to common base R functions, as well as some
    additional functions.

A simple package to grab cheat sheets and save them to your local computer.