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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 ORCID iD [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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.