Package: FMAdist 0.1.2

Xi Jiang

FMAdist: Frequentist Model Averaging Distribution

Creation of an input model (fitted distribution) via the frequentist model averaging (FMA) approach and generate random-variates from the distribution specified by "myfit" which is the fitted input model via the FMA approach. See W. X. Jiang and B. L. Nelson (2018), "Better Input Modeling via Model Averaging," Proceedings of the 2018 Winter Simulation Conference, IEEE Press, 1575-1586.

Authors:Barry L. Nelson [aut], Xi Jiang [aut, cre]

FMAdist_0.1.2.tar.gz
FMAdist_0.1.2.zip(r-4.7-any)FMAdist_0.1.2.zip(r-4.6-any)
FMAdist_0.1.2.tar.gz(r-4.7-any)FMAdist_0.1.2.tar.gz(r-4.6-any)
FMAdist_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
FMAdist/json (API)

# Install 'FMAdist' in R:
install.packages('FMAdist', repos = c('https://cran.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 386 downloads 2 exports 30 dependencies

Last updated from:910cb7f7f2. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK103
source / vignettesOK146
linux-releaseOK105
windows-develOK105
windows-releaseOK67
wasm-releaseOK106

Exports:fmafitrfma

Dependencies:actuarclicpp11EnvStatsexpintextraDistrfarverfitdistrplusggplot2gluegtableisobandlabelinglatticelifecycleMASSMatrixnortestquadprogR6RColorBrewerRcppRcppArmadillorlangS7scalessurvivalvctrsviridisLitewithr