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

endtoend_2.29.tar.gz
endtoend_2.29.zip(r-4.7-any)endtoend_2.29.zip(r-4.6-any)endtoend_2.29.zip(r-4.5-any)
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✨
DESCRIPTION
card.svg |card.png
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 328 downloads 3 exports 19 dependencies

Last updated from:2b19f1c1a3. Checks:9 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-develOK118
source / vignettesOK178
linux-releaseOK129
macos-releaseOK92
macos-oldrelOK77
windows-develOK75
windows-releaseOK71
windows-oldrelOK80
wasm-releaseOK117

Exports:ETEMCETEstochastic_ETE

Dependencies:bootclicpp11farverggplot2gluegtableisobandlabelinglifecyclepastecsR6RColorBrewerrlangS7scalesvctrsviridisLitewithr