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SpatLyu merged 2 commits into from
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polish readme #79

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polish readme
SpatLyu Jun 14, 2026
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SpatLyu Jun 14, 2026
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20 changes: 14 additions & 6 deletions README.md
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Expand Up @@ -42,7 +42,7 @@ install.packages("infoxtr",
- Install from source code on [GitHub](https://github.com/stscl/infoxtr) with:

``` r
if (!requireNamespace("devtools")) {
if (!requireNamespace("devtools", quietly = TRUE)) {
install.packages("devtools")
}
devtools::install_github("stscl/infoxtr",
Expand All @@ -52,12 +52,20 @@ devtools::install_github("stscl/infoxtr",

## References

Schreiber, T., 2000. Measuring Information Transfer. Physical Review Letters 85, 461–464. https://doi.org/10.1103/physrevlett.85.461.
Schreiber, T., 2000. Measuring Information Transfer. Physical Review Letters 85, 461–464. [https://doi.org/10.1103/physrevlett.85.461][1].

Kraskov, A., Stogbauer, H., Grassberger, P., 2004. Estimating mutual information. Physical Review E 69. https://doi.org/10.1103/physreve.69.066138.
Kraskov, A., Stogbauer, H., Grassberger, P., 2004. Estimating mutual information. Physical Review E 69. [https://doi.org/10.1103/physreve.69.066138][2].

Martinez-Sanchez, A., Arranz, G., Lozano-Duran, A., 2024. Decomposing causality into its synergistic, unique, and redundant components. Nature Communications 15. https://doi.org/10.1038/s41467-024-53373-4.
Martinez-Sanchez, A., Arranz, G., Lozano-Duran, A., 2024. Decomposing causality into its synergistic, unique, and redundant components. Nature Communications 15. [https://doi.org/10.1038/s41467-024-53373-4][3].

Zhang, X., Chen, L., 2025. Quantifying interventional causality by knockoff operation. Science Advances 11. https://doi.org/10.1126/sciadv.adu6464.
Zhang, X., Chen, L., 2025. Quantifying interventional causality by knockoff operation. Science Advances 11. [https://doi.org/10.1126/sciadv.adu6464][4].

Varley, T.F., 2025. Information theory for complex systems scientists: What, why, and how. Physics Reports 1148, 1–55. https://doi.org/10.1016/j.physrep.2025.09.007.
Varley, T.F., 2025. Information theory for complex systems scientists: What, why, and how. Physics Reports 1148, 1–55. [https://doi.org/10.1016/j.physrep.2025.09.007][5].

 

[1]: https://doi.org/10.1103/physrevlett.85.461
[2]: https://doi.org/10.1103/physreve.69.066138
[3]: https://doi.org/10.1038/s41467-024-53373-4
[4]: https://doi.org/10.1126/sciadv.adu6464
[5]: https://doi.org/10.1016/j.physrep.2025.09.007
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