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:
FMAdist_0.1.2.tar.gz
FMAdist_0.1.2.tar.gz(r-4.5-noble)FMAdist_0.1.2.tar.gz(r-4.4-noble)
FMAdist_0.1.2.tgz(r-4.4-emscripten)FMAdist_0.1.2.tgz(r-4.3-emscripten)
FMAdist.pdf |FMAdist.html✨
FMAdist/json (API)
| # Install 'FMAdist' in R: |
| install.packages('FMAdist', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:910cb7f7f2. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 03 2024 |
| R-4.5-linux | OK | Nov 03 2024 |
Dependencies:actuarclicolorspaceEnvStatsexpintextraDistrfansifarverfitdistrplusggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmenortestpillarpkgconfigquadprogR6RColorBrewerRcpprlangscalessurvivaltibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Building frequentist model averaging input models | fmafit |
| FMA random-variate generation | rfma |