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-4.5-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'))

Peer review:

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

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

2.56 score 1 packages 12 scripts 898 downloads 11 exports 32 dependencies

Last updated 1 years agofrom:68ab34cc5b. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKOct 26 2024
R-4.5-linux-x86_64OKOct 26 2024

Exports:essrunning_essrunning_meanrunning_varrunning_weighted_meanrunning_weighted_varweight_plotweighted_meanweighted_quantileweighted_seweighted_var

Dependencies:clicodacolorspacefansifarverggplot2gluegridExtragtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerRcppRcppArmadillorlangscalestibbleutf8vctrsviridisLitewithr

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

Jouni Helske

Rendered fromdiagis.Rmdusingknitr::rmarkdownon Oct 26 2024.

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