# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "investdatar" in publications use:' type: software license: MIT title: 'investdatar: Investment Data Access and Preparation Toolkit' version: 0.1.6 doi: 10.32614/CRAN.package.investdatar abstract: A toolkit for loading, transforming, and managing structured investment-related data. Includes functions for retrieving macroeconomic and public financial series, regulatory filings, futures positioning, energy and fiscal data, market open-high-low-close-volume data, fund holdings, narrative feeds, and crypto derivatives from multiple providers. It detects time-series gaps and synchronizes local '.rds' data stores with sidecar metadata for analysis and trading workflows. It also generates structured dataset descriptions for large language model (LLM)-based analyst agents that produce R code for analysis and visualization. authors: - family-names: Zhou given-names: Oliver email: oliver.yxzhou@gmail.com repository: https://oliverlds.r-universe.dev repository-code: https://github.com/OliverLDS/investdatar commit: 512a6747a48cb1084bc653d17f8002ff24e06966 url: https://github.com/OliverLDS/investdatar date-released: '2026-09-07' contact: - family-names: Zhou given-names: Oliver email: oliver.yxzhou@gmail.com