Research Methods Library

Description

Recommends study designs for a research question, states the identifying assumptions to verify, and returns runnable R, Python, and Julia code with a formatted citation for every source. The server is grounded in approximately 17,000 sections of methodological texts by Mike Nguyen: A Guide on Data Analysis and its Springer volumes; Advanced Data Analysis; causalverse, an R package for causal inference; Credit Scoring: Theory, Methods, and Practice; Marketing Research: A Technical and Academic Treatment; Applying Tidy Finance with Python to Vietnam; Machine Learning in Python; AI in Action; and peer-reviewed research articles. - **choose_method** recommends candidate designs (difference-in-differences, synthetic control, regression discontinuity, instrumental variables, matching, double machine learning, and 56 others), with when each applies, the assumptions to verify, and the R and Python packages that implement it. - **search** and **fetch** retrieve the underlying sections. - **get_code** returns runnable R, Python, or Julia code. - **cite** formats references in APA, Chicago, MLA, Harvard, BibTeX, or RIS. - **list_sources** lists the works, with licenses and links. Every result links to the specific section and carries the citation of the work it is drawn from. All tools are read-only; no account or API key is required, and the service stores no information about its users.

Community Metrics

Categories

• mcp

Tags

• mcp
• smithery

Capabilities

• remote

Information