streamDAG: Analytical Methods for Stream DAGs

Provides indices and tools for directed acyclic graphs (DAGs), particularly DAG representations of intermittent streams. A detailed introduction to the package can be found in the publication: "Non-perennial stream networks as directed acyclic graphs: The R-package streamDAG" (Aho et al., 2023) <doi:10.1016/j.envsoft.2023.105775>, and in the introductory package vignette.

Version: 1.5
Depends: R (≥ 4.0), igraph
Imports: asbio, graphics, stats, plotrix
Suggests: ggplot2, sf, knitr, rmarkdown, bookdown, RColorBrewer, devtools, ggrepel
Published: 2023-10-06
Author: Ken Aho [aut, cre], Arya Legg [dtc, ctb], Rob Ramos [dtc], Maggi Kraft [dtc], Charles T. Bond [dtc], Rebecca L. Hale [dtc]
Maintainer: Ken Aho <ahoken at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: streamDAG citation info
CRAN checks: streamDAG results


Reference manual: streamDAG.pdf
Vignettes: Introduction to streamDAG


Package source: streamDAG_1.5.tar.gz
Windows binaries: r-prerel:, r-release:, r-oldrel:
macOS binaries: r-prerel (arm64): streamDAG_1.5.tgz, r-release (arm64): streamDAG_1.5.tgz, r-oldrel (arm64): streamDAG_1.5.tgz, r-prerel (x86_64): streamDAG_1.5.tgz, r-release (x86_64): streamDAG_1.5.tgz
Old sources: streamDAG archive


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