Package: iwmm 0.0.1
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)
# 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
bayesianbayesian-data-analysisbayesian-methodsstan
Last updated 29 days agofrom:f0052215a2. Checks:ERROR: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | FAIL | Sep 08 2024 |
R-4.5-win | ERROR | Sep 08 2024 |
R-4.5-linux | ERROR | Sep 08 2024 |
R-4.4-win | ERROR | Sep 08 2024 |
R-4.4-mac | ERROR | Sep 08 2024 |
R-4.3-win | ERROR | Sep 08 2024 |
R-4.3-mac | ERROR | Sep 08 2024 |
Exports:constrain_drawsexample_iwmm_modelmoment_matchshiftshift_and_covshift_and_scaleunconstrain_draws
Dependencies:abindbackportscheckmateclidistributionalfansigenericsgluelifecyclemagrittrmatrixStatsnumDerivpillarpkgconfigposteriorrlangtensorAtibbleutf8vctrs