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-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://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 359 downloads 3 exports 19 dependencies

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

TargetResultTimeFilesSyslog
linux-develOK104
source / vignettesOK152
linux-releaseOK139
macos-releaseOK99
macos-oldrelOK101
windows-develOK82
windows-releaseOK66
windows-oldrelOK79
wasm-releaseOK77

Exports:ETEMCETEstochastic_ETE

Dependencies:bootclicpp11farverggplot2gluegtableisobandlabelinglifecyclepastecsR6RColorBrewerrlangS7scalesvctrsviridisLitewithr