DSDRM
Distributed Sampling for Dynamic Regression Models
A toolbox for distributed dynamic regression modeling, parallel estimation, multiple distributed sampling algorithms (Metropolis-Hastings, block bootstrap, adaptive, hypergeometric), sparse matrix optimization, model visualization, prediction and performance evaluation. The philosophy of the package is described in Guo (2025) <doi:10.1038/s41598-025-93333-6>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.3 |
rolling linux/jammy R-4.5 | DSDRM_0.1.3.tar.gz |
95.6 KiB |
0.1.3 |
rolling linux/noble R-4.5 | DSDRM_0.1.3.tar.gz |
95.4 KiB |
0.1.3 |
rolling source/ R- | DSDRM_0.1.3.tar.gz |
17.8 KiB |
0.1.3 |
latest linux/jammy R-4.5 | DSDRM_0.1.3.tar.gz |
95.6 KiB |
0.1.3 |
latest linux/noble R-4.5 | DSDRM_0.1.3.tar.gz |
95.4 KiB |
0.1.3 |
latest source/ R- | DSDRM_0.1.3.tar.gz |
17.8 KiB |
0.1.3 |
2026-04-23 source/ R- | DSDRM_0.1.3.tar.gz |
0 B |