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diagis  

Diagnostic Plot and Multivariate Summary Statistics of Weighted Samples from Importance Sampling
View on CRAN: Click here


Download and install diagis package within the R console
Install from CRAN:
install.packages("diagis")

Install from Github:
library("remotes")
install_github("cran/diagis")

Install by package version:
library("remotes")
install_version("diagis", "0.2.3")



Attach the package and use:
library("diagis")
Maintained by
Jouni Helske
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-10-29
Latest Update: 2023-09-05
Description:
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.
How to cite:
Jouni Helske (2016). diagis: Diagnostic Plot and Multivariate Summary Statistics of Weighted Samples from Importance Sampling. R package version 0.2.3, https://cran.r-project.org/web/packages/diagis. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1.0 (2016-10-29 22:24), 0.1.2 (2017-05-22 17:41), 0.1.3-1 (2018-01-25 19:37), 0.1.3 (2017-07-28 00:15), 0.1.4 (2020-05-24 21:10), 0.1.5 (2020-06-04 15:30), 0.2.1 (2021-11-16 09:40), 0.2.2 (2021-11-29 17:10)
Other packages that cited diagis R package
View diagis citation profile
Other R packages that diagis depends, imports, suggests or enhances
Complete documentation for diagis
Functions, R codes and Examples using the diagis R package
Some associated functions: diagis . ess . running_ess . running_mean . running_var . running_weighted_mean . running_weighted_var . weight_plot . weighted_mean . weighted_quantile . weighted_se . weighted_var . 
Some associated R codes: RcppExports.R . diagis-package.R . ess.R . means.R . ses.R . vars.R . weight_plot.R . weighted_quantile.R .  Full diagis package functions and examples
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