Package: RESTK 1.0.0

Sergi Vilardell

RESTK: An Implementation of the RESTK Algorithm

Implementation of the RESTK algorithm based on Markov's Inequality from Vilardell, Sergi, Serra, Isabel, Mezzetti, Enrico, Abella, Jaume, Cazorla, Francisco J. and Del Castillo, J. (2022). "Using Markov's Inequality with Power-Of-k Function for Probabilistic WCET Estimation". In 34th Euromicro Conference on Real-Time Systems (ECRTS 2022). Leibniz International Proceedings in Informatics (LIPIcs) 231 20:1-20:24. <doi:10.4230/LIPIcs.ECRTS.2022.20>. This work has been supported by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No. 772773).

Authors:Sergi Vilardell [aut, cre]

RESTK_1.0.0.tar.gz
RESTK_1.0.0.tar.gz(r-4.5-noble)RESTK_1.0.0.tar.gz(r-4.4-noble)
RESTK_1.0.0.tgz(r-4.4-emscripten)RESTK_1.0.0.tgz(r-4.3-emscripten)
RESTK.pdf |RESTK.html
RESTK/json (API)

# Install 'RESTK' in R:
install.packages('RESTK', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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

1.00 score 161 downloads 9 exports 7 dependencies

Last updated 1 years agofrom:b450e37890. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 14 2024
R-4.5-linuxOKNov 14 2024

Exports:compute_maxkestimate_quantiles_maxkget_min_maxklinear_adjustRESTKRESTK_trainingRESTK_validationsample_quantile_estimationtightness

Dependencies:cligluelifecyclemagrittrpurrrrlangvctrs