Package: endtoend 2.29

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:Christian E. Galarza, Jonathan M. Olate

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://chedgala.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3 exports 0.00 score 30 dependencies 2 scripts 208 downloads

Last updated 5 years agofrom:2b19f1c1a3. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 15 2024
R-4.5-winOKSep 15 2024
R-4.5-linuxOKSep 15 2024
R-4.4-winOKSep 15 2024
R-4.4-macOKSep 15 2024
R-4.3-winOKSep 15 2024
R-4.3-macOKSep 15 2024

Exports:ETEMCETEstochastic_ETE

Dependencies:bootclicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepastecspillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr