Other packages > Find by keyword >

Multiaovbay  

Classic, Nonparametric and Bayesian Two-Way Analysis of Variance Panel
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("Multiaovbay", "0.1.0")



Attach the package and use:
library("Multiaovbay")
Maintained by
Omar Ruiz-Barzola
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-03-17
Latest Update: 2023-03-17
Description:
Covers several approaches to ANOVA (Analysis of Variance), specifically studying a balanced two-factor fixed-fixed ANOVA design. It consists of four sections. The first section uses a dynamic scheme to indicate which possible alternatives to follow depending on the fulfillment of the assumptions of the model. It also presents an analysis on the fulfillment of the assumptions of linearity, homoscedasticity, normality, and independence in the residuals of the model, as well as dynamic statistical graphs on the residuals of the model. The second section presents an analysis with a non-parametric approach of Kruskal Wallis. After Kruskal Wallis, a Post-Hoc analysis of multiple comparisons on the medians of the treatments is carried out. The third section presents a classical parametric ANOVA. Following classical ANOVA, a post-hoc analysis of multiple comparisons on the medians of the treatments, factor levels by Dunn's test, and statistical graphs for the treatments and factor levels are shown. Additionally, a post-hoc analysis of multiple comparisons on the means of the treatments is done. The fourth section presents an analysis of variance under a Bayesian approach. In this section, interactive statistical graphs are presented on the posterior distributions of treatments, factor levels, and a convergence analysis of the estimated parameters, using MCMC (Markov Chain Monte Carlo). These results are displayed in an interactive glossy panel which allows modification of the test arguments, contains interactive statistical plots, and presents automatic conclusions depending on the fulfillment of the assumptions of the balanced two-factor fixed ANOVA model.
How to cite:
Omar Ruiz-Barzola (2023). Multiaovbay: Classic, Nonparametric and Bayesian Two-Way Analysis of Variance Panel. R package version 0.1.0, https://cran.r-project.org/web/packages/Multiaovbay. Accessed 03 Apr. 2025.
Previous versions and publish date:
0.1.0 (2023-03-17 18:20)
Other packages that cited Multiaovbay R package
View Multiaovbay citation profile
Other R packages that Multiaovbay depends, imports, suggests or enhances
Functions, R codes and Examples using the Multiaovbay R package
Full Multiaovbay package functions and examples
Downloads during the last 30 days
03/0403/0503/0703/0803/1003/1203/1303/1403/1503/1803/2003/2203/2403/2703/2804/01Downloads for Multiaovbay1234567TrendBars

Today's Hot Picks in Authors and Packages

RobustANOVA  
Robust One-Way ANOVA Tests under Heteroscedasticity and Nonnormality
Robust tests (RW, RPB and RGF) are provided for testing the equality of several long-tailed symmetri ...
Download / Learn more Package Citations See dependency  
RPMG  
Graphical User Interface (GUI) for Interactive R Analysis Sessions
Really Poor Man's Graphical User Interface, used to create interactive R analysis sessions with simp ...
Download / Learn more Package Citations See dependency  
RI2by2  
Randomization Inference for Treatment Effects on a Binary Outcome
Computes attributable effects based confidence interval, permutation test confidence interval, or as ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
automl  
Deep Learning with Metaheuristic
Fits from simple regression to highly customizable deep neural networks either with gradient descen ...
Download / Learn more Package Citations See dependency  
RZooRoH  
Partitioning of Individual Autozygosity into Multiple Homozygous-by-Descent Classes
Functions to identify Homozygous-by-Descent (HBD) segments associated with runs of homozygosity (ROH ...
Download / Learn more Package Citations See dependency  

23,990

R Packages

207,311

Dependencies

64,809

Author Associations

23,991

Publication Badges

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