Other packages > Find by keyword >

EMSaov  

The Analysis of Variance with EMS
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("EMSaov", "2.3")



Attach the package and use:
library("EMSaov")
Maintained by
Eun-Kyung Lee
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-08-12
Latest Update: 2018-05-09
Description:
Provides the analysis of variance table including the expected mean squares (EMS) for various types of experimental design. When some variables are random effects or we use special experimental design such as nested design, repeated-measures design, or split-plot design, it is not easy to find the appropriate test, especially denominator for F-statistic which depends on EMS.
How to cite:
Eun-Kyung Lee (2016). EMSaov: The Analysis of Variance with EMS. R package version 2.3, https://cran.r-project.org/web/packages/EMSaov. Accessed 29 Oct. 2026.
Previous versions and publish date:
1.3 (2016-08-12 12:41), 2.1 (2017-02-01 08:52), 2.2 (2017-02-16 07:55), (2026-07-09 08:02)
Other packages that cited EMSaov R package
View EMSaov citation profile
Other R packages that EMSaov depends, imports, suggests or enhances
Complete documentation for EMSaov
Functions, R codes and Examples using the EMSaov R package
Some associated functions: ApproxF . EMSanova . EMSaovApp . PooledANOVA . baseball . film . rubber . 
Some associated R codes: ApproxF.R . EMSApp.R . EMSanova.R . PooledANOVA.R .  Full EMSaov package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

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  
personalized2part  
Two-Part Estimation of Treatment Rules for Semi-Continuous Data
Implements the methodology of Huling, Smith, and Chen (2020) , w ...
Download / Learn more Package Citations See dependency  
GEVcdn  
GEV Conditional Density Estimation Network
Implements a flexible nonlinear modelling framework for nonstationary generalized extreme value anal ...
Download / Learn more Package Citations See dependency  
binovisualfields  
Depth-Dependent Binocular Visual Fields Simulation
Simulation and visualization depth-dependent integrated visual fields. Visual fields are measured mo ...
Download / Learn more Package Citations See dependency  
fastRG  
Sample Generalized Random Dot Product Graphs in Linear Time
Samples generalized random product graphs, a generalization of a broad class of network models. Giv ...
Download / Learn more Package Citations See dependency  

29,218

R Packages

247,686

Dependencies

77,281

Author Associations

29,219

Publication Badges

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