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:Christian E. Galarza, Jonathan M. Olate

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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'))

On CRAN:

Conda:

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

1.00 score 2 scripts 200 downloads 3 exports 30 dependencies

Last updated 6 years agofrom:2b19f1c1a3. Checks:9 OK. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKMar 09 2025
R-4.5-winOKMar 09 2025
R-4.5-macOKMar 09 2025
R-4.5-linuxOKMar 09 2025
R-4.4-winOKMar 09 2025
R-4.4-macOKMar 09 2025
R-4.4-linuxOKMar 09 2025
R-4.3-winOKMar 09 2025
R-4.3-macOKMar 09 2025

Exports:ETEMCETEstochastic_ETE

Dependencies:bootclicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepastecspillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr