JupyterLab renderer of dagitty causal diagrams
-
Updated
Oct 30, 2026 - TypeScript
#
irkernel
Here are 5 public repositories matching this topic...
Repository for the Statistical Foundation of Machine Learning class (INFO-F-422) - Academic Year 2018-2019
-
Updated
Mar 24, 2021 - Jupyter Notebook
MCP server for editing R Markdown (.rmd) documents with 24 cell-level tools: create, read, search and restructure cells, read and set knitr chunk options and YAML frontmatter keys, and run chunks on a live Jupyter kernel (R via IRkernel; Python, Julia via installed kernels). Built on PyYAML and jupyter_client.
data-science r mcp rmarkdown knitr r-markdown rmd yaml-frontmatter code-execution jupyter-kernel jupyter-client irkernel llm-tools agent-tools ai-coding model-context-protocol mcp-server claude-code kernel-execution chunk-editing
-
Updated
Oct 29, 2026 - Python
An R and Jupyter Notebook implementation of statistical-distribution simulations, binomial-normal approximation analysis, exponential memorylessness, and random-variable transformations. This project was developed as the First Computer Assignment for the Engineering Probability and Statistics course at the University of Tehran.
r jupyter-notebook statistical-distributions random-variable-transformations irkernel engineering-probability
-
Updated
Jun 22, 2026 - Jupyter Notebook
Jupyter R kernel from a container, designed for working on a jupyterhub server/HPC
-
Updated
Apr 12, 2022 - Shell
Add this topic to your repo
To associate your repository with the irkernel topic, visit your repo's landing page and select "manage topics."