Package: MetGen 0.5
Nesrine Farhani
MetGen: Stochastic Weather Generator
An adaptation of the multi-variable stochastic weather generator proposed in 'Rglimclim' to perform gap-filling and temporal extension at sub-daily resolution. Simulation is performed based on large scale variables and climatic observation data that could be generated from different gauged stations having geographical proximity. SWG relies on reanalyses. Multi-variable dependence is taking into account by using the decomposition of the product rule (in statistics) into conditional probabilities. See <https://hal.archives-ouvertes.fr/hal-02554676>.
Authors:
MetGen_0.5.tar.gz
MetGen_0.5.tar.gz(r-4.5-noble)MetGen_0.5.tar.gz(r-4.4-noble)
MetGen_0.5.tgz(r-4.4-emscripten)MetGen_0.5.tgz(r-4.3-emscripten)
MetGen.pdf |MetGen.html✨
MetGen/json (API)
| # Install 'MetGen' in R: |
| install.packages('MetGen', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- myclimatic_data - Climatic data
- mycovariates - Covariates data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 years agofrom:68ec4ea44b. Checks:OK: 1 NOTE: 1. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 08 2024 |
| R-4.5-linux | NOTE | Dec 08 2024 |
Exports:diurnal.effectfit.glmfit.lassoformating.varimputation.laggedlagged.effectmovave.effectprojection.laggedrm.bufferseasonal.effectsim.glmspatave.effect
Dependencies:chroncodetoolsforeachglmnetiteratorslatticeMASSMatrixRcppRcppEigenshapesurvival
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Stochastic Weather Generator | MetGen-package MetGen |
| diurnal and seasonal effects | diurnal.effect seasonal.effect |
| Fitting Generalized Linear Models | fit.glm |
| Lasso regression | fit.lasso |
| Format variables | formating.var |
| Imputation | imputation.lagged |
| lag effect | lagged.effect |
| Moving average | movave.effect |
| climatic data | myclimatic_data |
| Covariates data | mycovariates |
| climatic variable simulation | projection.lagged |
| Remove buffer | rm.buffer |
| Simulation of glm | sim.glm |
| Spatial average | spatave.effect |