Extracts 'zip' files, converts 'Word', 'Excel', and 'html'/'htm' files to 'pdf' format. 'Word' and 'Excel' conversion uses 'VBScript', while 'html'/'htm' conversion uses 'webshot' and 'PhantomJS'. Additionally, the package merges 'pdf' files into a single document. This package is only supported on 'Windows' due to 'VBScript' dependencies.

Converts video files to 'mp3', merges multiple audio files and trims audio files using 'FFmpeg', which is dynamically downloaded to avoid bundling any third-party binaries. Users must ensure compliance with the license terms of 'FFmpeg' when using the package. See <https://github.com/BtbN/FFmpeg-Builds/releases/download/latest/ffmpeg-master-latest-win64-gpl.zip> for details.

Fits and tests logistic joinpoint models.

Computes Logistic Knowledge Tracing ('LKT') which is a general method for tracking human learning in an educational software system. Please see Pavlik, Eglington, and Harrel-Williams (2021) <https://ieeexplore.ieee.org/document/9616435>. 'LKT' is a method to compute features of student data that are used as predictors of subsequent performance. 'LKT' allows great flexibility in the choice of predictive components and features computed for these predictive components. The system is built on top of 'LiblineaR', which enables extremely fast solutions compared to base glm() in R.

Provides functionality to train and evaluate algorithm selection models for portfolios.

Provides R bindings to 'llama.cpp' for running large language
    models locally, with optional GPU acceleration via 'ggmlR'. Supports text
    generation, embeddings, chat-based workflows, tool calling, and multimodal
    (vision) inference. Includes 'OpenAI'- and 'Anthropic'-compatible HTTP
    servers for serving local models, along with device selection and
    multi-GPU support.

Fits the Logit Leaf Model, makes predictions and visualizes the output. (De Caigny et al., (2018) <DOI:10.1016/j.ejor.2018.02.009>).

A minimal-dependency client for Large Language Model chat APIs.
    Supports 'OpenAI' <https://openai.com/>, 'Anthropic' 'Claude'
    <https://claude.com/>, 'Moonshot' 'Kimi' <https://www.moonshot.ai/>,
    'OpenAI' 'Codex' subscription endpoints, 'Ollama'
    <https://ollama.com/>, and other 'OpenAI'-compatible endpoints.
    Includes an agent loop with tool use and a 'Model Context
    Protocol' client <https://modelcontextprotocol.io/>. API design is
    derived from the 'ellmer' package, reimplemented with only base R,
    'curl', 'jsonlite', and 'tinyoauth'.