Package: diagis 0.2.3
Jouni Helske
diagis: Diagnostic Plot and Multivariate Summary Statistics of Weighted Samples from Importance Sampling
Fast functions for effective sample size, weighted multivariate mean, variance, and quantile computation, and weight diagnostic plot for generic importance sampling type or other probability weighted samples.
Authors:
diagis_0.2.3.tar.gz
diagis_0.2.3.tar.gz(r-4.5-noble)diagis_0.2.3.tar.gz(r-4.4-noble)
diagis_0.2.3.tgz(r-4.4-emscripten)diagis_0.2.3.tgz(r-4.3-emscripten)
diagis.pdf |diagis.html✨
diagis/json (API)
NEWS
| # Install 'diagis' in R: |
| install.packages('diagis', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/helske/diagis/issues
Last updated 1 years agofrom:68ab34cc5b. Checks:2 OK. Indexed: no.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Jan 24 2025 |
| R-4.5-linux-x86_64 | OK | Jan 24 2025 |
Exports:essrunning_essrunning_meanrunning_varrunning_weighted_meanrunning_weighted_varweight_plotweighted_meanweighted_quantileweighted_seweighted_var
Dependencies:clicodacolorspacefansifarverggplot2gluegridExtragtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerRcppRcppArmadillorlangscalestibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Auxiliary functions and diagnostic plots for importance sampling | diagis-package diagis |
| Effective sample size | ess |
| Running effective sample size | running_ess |
| Running mean | running_mean |
| Running variance of a vector | running_var |
| Running weighted mean | running_weighted_mean |
| Running weighted variance of a vector | running_weighted_var |
| Diagnostic plot of importance sampling weights | weight_plot |
| Weighted mean | weighted_mean |
| Weighted quantiles | weighted_quantile |
| Weighted standard error | weighted_se |
| Weighted covariance | weighted_var |
