Package: diagis 0.2.3

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:Jouni Helske [aut, cre]

diagis_0.2.3.tar.gz
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diagis.pdf |diagis.html✨
diagis/json (API)
NEWS

# Install 'diagis' in R:

install.packages('diagis', repos = c('https://helske.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/helske/diagis/issues

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3

On CRAN:

cpp importance-sampling weighted-samples openblas cpp

4.32 score 1 stars 1 packages 14 scripts 666 downloads 11 exports 32 dependencies

Last updated 1 years agofrom:ae13f60638. Checks:11 OK. Indexed: yes.

Target	Result	Latest binary
Doc / Vignettes	OK	Feb 04 2025
R-4.5-win-x86_64	OK	Feb 04 2025
R-4.5-mac-x86_64	OK	Feb 04 2025
R-4.5-mac-aarch64	OK	Feb 04 2025
R-4.5-linux-x86_64	OK	Feb 04 2025
R-4.4-win-x86_64	OK	Feb 04 2025
R-4.4-mac-x86_64	OK	Feb 04 2025
R-4.4-mac-aarch64	OK	Feb 04 2025
R-4.3-win-x86_64	OK	Feb 04 2025
R-4.3-mac-x86_64	OK	Feb 04 2025
R-4.3-mac-aarch64	OK	Jan 05 2025

Exports:ess running_ess running_mean running_var running_weighted_mean running_weighted_var weight_plot weighted_mean weighted_quantile weighted_se weighted_var

Dependencies:cli coda colorspace fansi farver ggplot2 glue gridExtra gtable isoband labeling lattice lifecycle magrittr MASS Matrix mgcv munsell nlme pillar pkgconfig R6 RColorBrewer Rcpp RcppArmadillo rlang scales tibble utf8 vctrs viridisLite withr

diagis: Diagnostic plot and multivariate summary statistics of weighted samples from importance sampling

Jouni Helske

Rendered fromdiagis.Rmdusingknitr::rmarkdownon Feb 04 2025.

Last update: 2021-11-15
Started: 2016-10-27

Citation

Development and contributors

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