https://github.com/aaltorse/iwmm

https://github.com/aaltorse/iwmm

Science Score: 13.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
    Found 4 DOI reference(s) in README
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (10.2%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: AaltoRSE
  • Language: R
  • Default Branch: main
  • Size: 155 KB
Statistics
  • Stars: 0
  • Watchers: 0
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Fork of n-kall/iwmm
Created over 3 years ago · Last pushed over 3 years ago

https://github.com/AaltoRSE/iwmm/blob/main/



# iwmm



[![Lifecycle:
experimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://www.tidyverse.org/lifecycle/#experimental)
[![CRAN
status](https://www.r-pkg.org/badges/version/powersense)](https://CRAN.R-project.org/package=iwmm)
[![R build
status](https://github.com/topipa/iwmm/workflows/R/badge.svg)](https://github.com/topipa/iwmm/actions)


An R package to perform importance weighted moment matching. The method
is described in detail in the [Implicitly Adaptive Importance Sampling
paper](https://doi.org/10.1007/s11222-020-09982-2).

## Installation











You can install the the development version from
[GitHub](https://github.com/) with:

``` r
# install.packages("devtools")
devtools::install_github("topipa/iwmm")
```


















## References

Paananen, T., Piironen, J., Brkner, P.-C., and Vehtari, A. Implicitly
Adaptive Importance Sampling. *Stat Comput* **31**, 16 (2021).
([paper](https://doi.org/10.1007/s11222-020-09982-2))([code](https://github.com/topipa/iter-mm-paper))

Owner

  • Name: AaltoRSE
  • Login: AaltoRSE
  • Kind: organization

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