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'))

Peer review:

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

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

On CRAN:

cppimportance-samplingweighted-samples

4.29 score 1 stars 1 packages 13 scripts 878 downloads 11 exports 32 dependencies

Last updated 1 years agofrom:ae13f60638. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 06 2024
R-4.5-win-x86_64OKNov 06 2024
R-4.5-linux-x86_64OKNov 06 2024
R-4.4-win-x86_64OKNov 06 2024
R-4.4-mac-x86_64OKNov 06 2024
R-4.4-mac-aarch64OKNov 06 2024
R-4.3-win-x86_64OKNov 06 2024
R-4.3-mac-x86_64OKNov 06 2024
R-4.3-mac-aarch64OKNov 06 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

Rendered fromdiagis.Rmdusingknitr::rmarkdownon Nov 06 2024.

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