Portfolio Analytics and Simulation Toolkit
Overview
Tools for portfolio construction and risk analytics, including mean-variance optimization, conditional value at risk (expected shortfall) minimization, risk parity, regime clustering, correlation analysis, Monte Carlo simulation, and option pricing. Includes utilities for portfolio evaluation, clustering, and risk reporting. Methods are based in part on Markowitz (1952) doi:10.1111/j.1540-6261.1952.tb01525.x, Rockafellar and Uryasev (2000) doi:10.21314/JOR.2000.038, Maillard et al. (2010) doi:10.3905/jpm.2010.36.4.060, Black and Scholes (1973) doi:10.1086/260062, and Cox et al. (1979) doi:10.1016/0304-405X(79)90015-1.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- WARNING12 OK, 1 WARNING2026-06-08
- OK6 OK2026-04-23
Documentation
- Help pages
- 97 (1 internal)includes a package overview page
- Examples that run
- 98%50 run in a plain check (2 of them under a condition) · 1 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 57%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Dependencies
Code & Tests
Datasets
People & History
- RR 4.6.0 released · 2026-04-24
- 1.0.0Latest2026-04-22 · current release
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2026-04-22
- Total releases
- 1 / 1 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 46 KB / 1 file
- Download size
- 175 KB
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