Provides efficient implementation of the Narrowest-Over-Threshold methodology for detecting an unknown number of change-points occurring at unknown locations in one-dimensional data following 'deterministic signal + noise' model. Currently implemented scenarios are: piecewise-constant signal, piecewise-constant signal with a heavy-tailed noise, piecewise-linear signal, piecewise-quadratic signal, piecewise-constant signal and with piecewise-constant variance of the noise. For details, see Baranowski, Chen and Fryzlewicz (2019) <doi:10.1111/rssb.12322>.

This is a pure dummy interfaces package which mirrors 'MsSparkUtils' APIs <https://learn.microsoft.com/en-us/azure/synapse-analytics/spark/microsoft-spark-utilities?pivots=programming-language-r> of 'Azure Synapse Analytics' <https://learn.microsoft.com/en-us/azure/synapse-analytics/> for R users,
    customer of Azure Synapse can download this package from CRAN for local development.

Functions to flash your hue lights, or text yourself, from R. Designed to be used with long running scripts.

Enable programmatic interaction with 'Notion' pages,
    databases, blocks, comments, and users through the 'Notion API'
    <https://developers.notion.com/>.  Provides both synchronous and
    asynchronous client interfaces for building workflows and automations
    that integrate with 'Notion' workspaces. Supports all 'Notion API'
    endpoints including content creation, data retrieval, and workspace
    management.

Provides functions to query databases and notes in 'Notion', using the official REST API. To learn more about the functionality of the 'Notion' API, see <https://developers.notion.com/>.

A comprehensive toolkit for analyzing and visualizing neural data 
    outputs, including Principal Component Analysis (PCA) trajectory plotting, 
    Multi-Electrode Array (MEA) heatmap generation, and variable importance 
    analysis. Provides publication-ready visualizations with flexible 
    customization options for neuroscience research applications.