ksm
Kernel Density Estimation for Random Symmetric Positive Definite Matrices
Kernel smoothing for Wishart random matrices described in Daayeb, Khardani and Ouimet (2025) <doi:10.48550/arXiv.2506.08816>, Gaussian and log-Gaussian models using least square or likelihood cross validation criteria for optimal bandwidth selection.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0 |
rolling linux/jammy R-4.5 | ksm_1.0.tar.gz |
242.7 KiB |
1.0 |
rolling linux/noble R-4.5 | ksm_1.0.tar.gz |
250.0 KiB |
1.0 |
rolling source/ R- | ksm_1.0.tar.gz |
37.4 KiB |
1.0 |
latest linux/jammy R-4.5 | ksm_1.0.tar.gz |
242.7 KiB |
1.0 |
latest linux/noble R-4.5 | ksm_1.0.tar.gz |
250.0 KiB |
1.0 |
latest source/ R- | ksm_1.0.tar.gz |
37.4 KiB |
1.0 |
2026-04-26 source/ R- | ksm_1.0.tar.gz |
37.4 KiB |
1.0 |
2026-04-23 source/ R- | ksm_1.0.tar.gz |
37.4 KiB |
1.0 |
2026-04-09 windows/windows R-4.5 | ksm_1.0.zip |
653.6 KiB |