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DSDRM  

Distributed Sampling for Dynamic Regression Models
View on CRAN: Click here


Download and install DSDRM package within the R console
Install from CRAN:
install.packages("DSDRM")

Install from Github:
library("remotes")
install_github("cran/DSDRM")

Install by package version:
library("remotes")
install_version("DSDRM", "0.1.3")



Attach the package and use:
library("DSDRM")
Maintained by
Guangbao Guo
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-07-10
Latest Update: 2026-07-10
Description:
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>.
How to cite:
Guangbao Guo (2026). DSDRM: Distributed Sampling for Dynamic Regression Models. R package version 0.1.3, https://cran.r-project.org/web/packages/DSDRM. Accessed 04 Oct. 2026.
Previous versions and publish date:
No previous versions
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Complete documentation for DSDRM
Functions, R codes and Examples using the DSDRM R package
Full DSDRM package functions and examples
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