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-4.7)endtoend_2.29.zip(r-4.6)endtoend_2.29.zip(r-4.5)
endtoend_2.29.tgz(r-4.6-any)endtoend_2.29.tgz(r-4.5-any)
endtoend_2.29.tar.gz(r-4.7-any)endtoend_2.29.tar.gz(r-4.6-any)
endtoend_2.29.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
endtoend/json (API)

# Install 'endtoend' in R:
install.packages('endtoend', repos = c('https://chedgala.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 224 downloads 3 exports 19 dependencies

Last updated from:2b19f1c1a3. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK112
source / vignettesOK121
linux-release-x86_64OK114
macos-release-arm64OK85
macos-oldrel-arm64OK106
windows-develOK73
windows-releaseOK66
windows-oldrelOK70
wasm-releaseOK94

Exports:ETEMCETEstochastic_ETE

Dependencies:bootclicpp11farverggplot2gluegtableisobandlabelinglifecyclepastecsR6RColorBrewerrlangS7scalesvctrsviridisLitewithr