diagis: Diagnostic Plot and Multivariate Summary Statistics of Weighted Samples from Importance Sampling

Fast functions for effective sample size, weighted multivariate mean and variance computation, and weight diagnostic plot for generic importance sampling type results.

Version: 0.1.0
Imports: Rcpp (≥ 0.12.7), ggplot2 (≥ 2.1.0), gridExtra
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat, knitr, rmarkdown
Published: 2016-10-29
Author: Jouni Helske
Maintainer: Jouni Helske <jouni.helske at jyu.fi>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: diagis citation info
CRAN checks: diagis results


Reference manual: diagis.pdf
Vignettes: Auxiliary functions for importance sampling
Package source: diagis_0.1.0.tar.gz
Windows binaries: r-devel: diagis_0.1.0.zip, r-release: diagis_0.1.0.zip, r-oldrel: diagis_0.1.0.zip
OS X El Capitan binaries: r-release: diagis_0.1.0.tgz
OS X Mavericks binaries: r-oldrel: diagis_0.1.0.tgz


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