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collapse: Advanced and Fast Statistical Computing and Data Transformation in R
- Publication Year :
- 2024
-
Abstract
- collapse is a large C/C++-based infrastructure package facilitating complex statistical computing, data transformation, and exploration tasks in R - at outstanding levels of performance and memory efficiency. It also implements a class-agnostic approach to R programming, supporting vector, matrix and data frame-like objects and their popular variants (e.g., factor, ts, xts, tibble, data.table, sf), enabling its seamless integration with large parts of the R ecosystem. This article introduces the package's key components and design principles in a structured way, supported by a rich set of examples. A small benchmark demonstrates its computational performance.<br />Comment: 32 pages, 0 figures. Submitted to the Journal of Statistical Software
- Subjects :
- Statistics - Computation
Subjects
Details
- Database :
- arXiv
- Publication Type :
- Report
- Accession number :
- edsarx.2403.05038
- Document Type :
- Working Paper