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:Jouni Helske [aut, cre]

diagis_0.2.3.tar.gz
diagis_0.2.3.tar.gz(r-4.7-arm64)diagis_0.2.3.tar.gz(r-4.7-x86_64)diagis_0.2.3.tar.gz(r-4.6-arm64)diagis_0.2.3.tar.gz(r-4.6-x86_64)
diagis_0.2.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

openblascpp

3.39 score 1 packages 18 scripts 4.5k downloads 11 exports 22 dependencies

Last updated from:68ab34cc5b. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK157
linux-devel-x86_64OK149
source / vignettesOK224
linux-release-arm64OK146
linux-release-x86_64OK151
wasm-releaseOK127

Exports:essrunning_essrunning_meanrunning_varrunning_weighted_meanrunning_weighted_varweight_plotweighted_meanweighted_quantileweighted_seweighted_var

Dependencies:clicodacpp11farverggplot2gluegridExtragtableisobandlabelinglatticelifecycleR6RColorBrewerRcppRcppArmadillorlangS7scalesvctrsviridisLitewithr

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

Jouni Helske

Rendered fromdiagis.Rmdusingknitr::rmarkdownon Jun 09 2026.

Last update: 2023-09-05
Started: 2016-10-29