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>.
| Version: | 0.1.3 |
| Depends: | R (≥ 4.1.0) |
| Imports: | parallel, Matrix |
| Suggests: | testthat |
| Published: | 2026-07-10 |
| DOI: | 10.32614/CRAN.package.DSDRM |
| Author: | Guangbao Guo 
[aut, cre] |
| Maintainer: | Guangbao Guo <ggb11111111 at 163.com> |
| License: | Apache License 2.0 |
| NeedsCompilation: | no |
| Language: | en-US |
| CRAN checks: | DSDRM results |
Documentation:
| Reference manual: | DSDRM.html , DSDRM.pdf |
Downloads:
| Package source: | DSDRM_0.1.3.tar.gz |
| Windows binaries: | r-devel: DSDRM_0.1.3.zip, r-release: DSDRM_0.1.3.zip, r-oldrel: DSDRM_0.1.3.zip |
| macOS binaries: | r-release (arm64): DSDRM_0.1.3.tgz, r-oldrel (arm64): DSDRM_0.1.3.tgz, r-release (x86_64): DSDRM_0.1.3.tgz, r-oldrel (x86_64): DSDRM_0.1.3.tgz |
Linking:
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