Package: endtoend 2.29
Christian E. Galarza
endtoend: Transmissions and Receptions in an End to End Network
Computes the expectation of the number of transmissions and receptions considering an End-to-End transport model with limited number of retransmissions per packet. It provides theoretical results and also estimated values based on Monte Carlo simulations. It is also possible to consider random data and ACK probabilities.
Authors:
endtoend_2.29.tar.gz
endtoend_2.29.zip(r-4.5)endtoend_2.29.zip(r-4.4)endtoend_2.29.zip(r-4.3)
endtoend_2.29.tgz(r-4.4-any)endtoend_2.29.tgz(r-4.3-any)
endtoend_2.29.tar.gz(r-4.5-noble)endtoend_2.29.tar.gz(r-4.4-noble)
endtoend_2.29.tgz(r-4.4-emscripten)endtoend_2.29.tgz(r-4.3-emscripten)
endtoend.pdf |endtoend.html✨
endtoend/json (API)
| # Install 'endtoend' in R: |
| install.packages('endtoend', repos = c('https://epiverse-connect.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 years agofrom:2b19f1c1a3. Checks:OK: 7. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 09 2024 |
| R-4.5-win | OK | Nov 09 2024 |
| R-4.5-linux | OK | Nov 09 2024 |
| R-4.4-win | OK | Nov 09 2024 |
| R-4.4-mac | OK | Nov 09 2024 |
| R-4.3-win | OK | Nov 09 2024 |
| R-4.3-mac | OK | Nov 09 2024 |
Exports:ETEMCETEstochastic_ETE
Dependencies:bootclicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepastecspillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr
