Package: iwmm 0.0.1

Topi Paananen

iwmm: Importance weighted moment matching

iwmm provides functions for adaptive importance sampling.

Authors:Topi Paananen [cre, aut], Noa Kallioinen [ctb]

iwmm_0.0.1.tar.gz
iwmm_0.0.1.zip(r-4.7)iwmm_0.0.1.zip(r-4.6)iwmm_0.0.1.zip(r-4.5)
iwmm_0.0.1.tgz(r-4.6-any)iwmm_0.0.1.tgz(r-4.5-any)
iwmm_0.0.1.tar.gz(r-4.7-any)iwmm_0.0.1.tar.gz(r-4.6-any)
iwmm_0.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
iwmm/json (API)

# Install 'iwmm' 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

On CRAN:

Conda:

bayesianbayesian-data-analysisbayesian-methodsstan

2.90 score 8 stars 4 scripts 7 exports 19 dependencies

Last updated from:f0052215a2. Checks:8 ERROR, 1 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64ERROR235
source / vignettesERROR201
linux-release-x86_64ERROR205
macos-release-arm64ERROR161
macos-oldrel-arm64ERROR172
windows-develERROR255
windows-releaseERROR208
windows-oldrelERROR244
wasm-releaseOK141

Exports:constrain_drawsexample_iwmm_modelmoment_matchshiftshift_and_covshift_and_scaleunconstrain_draws

Dependencies:abindbackportscheckmateclidistributionalgenericsgluelifecyclemagrittrmatrixStatsnumDerivpillarpkgconfigposteriorrlangtensorAtibbleutf8vctrs