Compositionalscsmr
Simplical-Simplicial Spatial Median Regression for Compositional Data
Simplicial-simplicial regression is performed via the simplicially constrained spatial median regression model. The regression coefficients are constrained to be non-negative and sum to 1. For the spatial median regression the iteratively reweighted least squares algorithm is adopted, where quadratic programming is used to impose the constraints.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0 |
rolling linux/jammy R-4.5 | Compositionalscsmr_1.0.tar.gz |
45.9 KiB |
1.0 |
rolling linux/noble R-4.5 | Compositionalscsmr_1.0.tar.gz |
45.9 KiB |
1.0 |
rolling source/ R- | Compositionalscsmr_1.0.tar.gz |
6.9 KiB |
1.0 |
latest linux/jammy R-4.5 | Compositionalscsmr_1.0.tar.gz |
45.9 KiB |
1.0 |
latest linux/noble R-4.5 | Compositionalscsmr_1.0.tar.gz |
45.9 KiB |
1.0 |
latest source/ R- | Compositionalscsmr_1.0.tar.gz |
6.9 KiB |
1.0 |
2026-04-23 source/ R- | Compositionalscsmr_1.0.tar.gz |
0 B |