rDecode
Descent-Based Calibrated Optimal Direct Estimation
Algorithms for solving a self-calibrated l1-regularized quadratic programming problem without parameter tuning. The algorithm, called DECODE, can handle high-dimensional data without cross-validation. It is found useful in high dimensional portfolio selection (see Pun (2018) https://ssrn.com/abstract=3179569) and large precision matrix estimation and sparse linear discriminant analysis (see Pun and Hadimaja (2019) https://ssrn.com/abstract=3422590).
- Version0.1.0
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- Last release12/18/2019
Team
Chi Seng Pun
Matthew Zakharia Hadimaja
Show author detailsRolesAuthor
Insights
Last 30 days
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN