Other packages > Find by keyword >

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 23 Jul. 2026.
Previous versions and publish date:
(2026-07-09 07:31), 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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

ODS  
Statistical Methods for Outcome-Dependent Sampling Designs
Outcome-dependent sampling (ODS) schemes are cost-effective ways to enhance study efficiency. In OD ...
Download / Learn more Package Citations See dependency  
MixSIAR  
Bayesian Mixing Models in R
Creates and runs Bayesian mixing models to analyze biological tracer data (i.e. stable isotopes, fa ...
Download / Learn more Package Citations See dependency  
gfcanalysis  
Tools for Working with Hansen et al. Global Forest Change Dataset
Supports analyses using the Global Forest Change dataset released by Hansen et al. gfcanalysis was ...
Download / Learn more Package Citations See dependency  
fitscape  
Classes for Fitness Landscapes and Seascapes
Convenient classes to model fitness landscapes and fitness seascapes. A low-level package with whic ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  

27,889

R Packages

239,283

Dependencies

74,019

Author Associations

27,890

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA