Package: iwmm 0.0.1
![](https://github.com/topipa/iwmm/raw/HEAD/man/figures/logo.png)
![](https://r-universe.dev/static/nobody.jpg)
Topi Paananen
iwmm:Importance weighted moment matching
iwmm provides functions for adaptive importance sampling.
Authors:
iwmm_0.0.1.tar.gz
iwmm_0.0.1.zip(r-4.5)iwmm_0.0.1.zip(r-4.4)iwmm_0.0.1.zip(r-4.3)
iwmm_0.0.1.tgz(r-4.4-any)iwmm_0.0.1.tgz(r-4.3-any)
iwmm_0.0.1.tar.gz(r-4.5-noble)iwmm_0.0.1.tar.gz(r-4.4-noble)
iwmm_0.0.1.tgz(r-4.4-emscripten)iwmm_0.0.1.tgz(r-4.3-emscripten)
iwmm.pdf |iwmm.html✨
iwmm/json (API)
# Installiwmm in R: |
install.packages('iwmm', repos = c('https://topipa.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/topipa/iwmm/issues
bayesianbayesian-data-analysisbayesian-methodsstan
Last updated 3 months agofrom:b40fdc398f
Exports:constrain_drawsexample_iwmm_modelmoment_matchshiftshift_and_covshift_and_scaleunconstrain_draws
Dependencies:abindbackportscheckmateclidistributionalfansigenericsgluelifecyclemagrittrmatrixStatsnumDerivpillarpkgconfigposteriorrlangtensorAtibbleutf8vctrs
Importance sampling for Bootstrapping of posterior means
Rendered fromimportance_sampling_bootstrap.Rmd
usingknitr::rmarkdown
on Jun 16 2024.Last update: 2024-03-31
Started: 2020-12-14
Importance weighted moment matching
Rendered fromiwmm.Rmd
usingknitr::rmarkdown
on Jun 16 2024.Last update: 2023-08-27
Started: 2023-08-27