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 isu.edu> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
no |
| Citation: |
streamDAG citation info |
| CRAN checks: |
streamDAG results |
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