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-4.5)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'))

Peer review:

Bug tracker:https://github.com/topipa/iwmm/issues

On CRAN:

bayesianbayesian-data-analysisbayesian-methodsstan

7 exports 4 stars 1.24 score 20 dependencies 3 scripts

Last updated 14 hours agofrom:be0f8f5923. Checks:OK: 1 ERROR: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 07 2024
R-4.5-winERRORSep 07 2024
R-4.5-linuxERRORSep 07 2024
R-4.4-winERRORSep 07 2024
R-4.4-macERRORSep 07 2024
R-4.3-winERRORSep 07 2024
R-4.3-macERRORSep 07 2024

Exports:constrain_drawsexample_iwmm_modelmoment_matchshiftshift_and_covshift_and_scaleunconstrain_draws

Dependencies:abindbackportscheckmateclidistributionalfansigenericsgluelifecyclemagrittrmatrixStatsnumDerivpillarpkgconfigposteriorrlangtensorAtibbleutf8vctrs

Importance sampling for Bootstrapping of posterior means

Topi Paananen

Rendered fromimportance_sampling_bootstrap.Rmdusingknitr::rmarkdownon Sep 07 2024.

Last update: 2024-03-31
Started: 2020-12-14

Importance weighted moment matching

Rendered fromiwmm.Rmdusingknitr::rmarkdownon Sep 07 2024.

Last update: 2023-08-27
Started: 2023-08-27