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CRAN: Package diagis

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.

Version: 0.2.3 Imports: coda, ggplot2 (≥ 2.1.0), gridExtra, Rcpp (≥ 0.12.7) LinkingTo: Rcpp, RcppArmadillo Suggests: covr, knitr, rmarkdown, testthat Published: 2023-09-05 DOI: 10.32614/CRAN.package.diagis Author: Jouni Helske [aut, cre] Maintainer: Jouni Helske <jouni.helske at iki.fi> BugReports: https://github.com/helske/diagis/issues License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] URL: https://github.com/helske/diagis/ NeedsCompilation: yes Citation: diagis citation info Materials: NEWS CRAN checks: diagis results Documentation: Reference manual: diagis.pdf Vignettes: Auxiliary functions for importance sampling
Downloads: Package source: diagis_0.2.3.tar.gz Windows binaries: r-devel: diagis_0.2.3.zip, r-release: diagis_0.2.3.zip, r-oldrel: diagis_0.2.3.zip macOS binaries: r-release (arm64): diagis_0.2.3.tgz, r-oldrel (arm64): diagis_0.2.3.tgz, r-release (x86_64): diagis_0.2.3.tgz, r-oldrel (x86_64): diagis_0.2.3.tgz Old sources: diagis archive Reverse dependencies: Reverse imports: bssm Reverse suggests: ctsem, walker Linking:

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