Distributed Sampling for Dynamic Regression Models
Overview
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.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK8 OK2026-07-11
Documentation
- Help pages
- 32
- Examples that run
- 91%29 run in a plain check (1 of them under a condition) · 3 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Dependencies
Installing DSDRM adds no packages beyond those that come with R.
Code & Tests
People & History
- 0.1.3Latest2026-07-10 · current release
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-07-10
- Total releases
- 1 / 1 yrs
- License
- Apache License 2.0 OSI
- Minimum R
- ≥ 4.1.0
- Download size
- 18 KB
Cite
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