Other packages > Find by keyword >

MultiRR  

Bias, Precision, and Power for Multi-Level Random Regressions
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("MultiRR", "1.1")



Attach the package and use:
library("MultiRR")
Maintained by
Yimen G. Araya-Ajoy
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-05-13
Latest Update:
Description:
Calculates bias, precision, and power for multi-level random regressions. Random regressions are types of hierarchical models in which data are structured in groups and (regression) coefficients can vary by groups. Tools to estimate model performance are designed mostly for scenarios where (regression) coefficients vary at just one level. 'MultiRR' provides simulation and analytical tools (based on 'lme4') to study model performance for random regressions that vary at more than one level (multi-level random regressions), allowing researchers to determine optimal sampling designs.
How to cite:
Yimen G. Araya-Ajoy (2015). MultiRR: Bias, Precision, and Power for Multi-Level Random Regressions. R package version 1.1, https://cran.r-project.org/web/packages/MultiRR. Accessed 05 Mar. 2026.
Previous versions and publish date:
1.0 (2015-05-13 17:03), 1.1 (2015-10-21 11:36)
Other packages that cited MultiRR R package
View MultiRR citation profile
Other R packages that MultiRR depends, imports, suggests or enhances
Complete documentation for MultiRR
Functions, R codes and Examples using the MultiRR R package
Some associated functions: Anal.MultiRR . Bias . Imprecision . MultiRR-package . Plot.Sim . Power . Sim.MultiRR . Summary . lmerAll . lower2 . mean2 . median2 . sd2 . upper2 . 
Some associated R codes: Anal.MultiRR.R . Bias.R . Imprecision.R . Plot.Sim.R . Power.R . Sim.MultiRR.R . lmerAll.R . lower2.R . mean2.R . median2.R . sd2.R . upper2.R .  Full MultiRR package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

roccv  
ROC for Cross Validation Results
Cross validate large genetic data while specifying clinical variables that should always be in the m ...
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  
diffIRT  
Diffusion IRT Models for Response and Response Time Data
Package to fit diffusion-based IRT models to response and response time data. Models are fit using ...
Download / Learn more Package Citations See dependency  
pinp  
'pinp' is not 'PNAS'
A 'PNAS'-alike style for 'rmarkdown', derived from the 'Proceedings of the National Academy of Scie ...
Download / Learn more Package Citations See dependency  
neat  
Efficient Network Enrichment Analysis Test
Includes functions and examples to compute NEAT, the Network Enrichment Analysis Test described in ...
Download / Learn more Package Citations See dependency  
imagefx  
Extract Features from Images
Synthesize images into characteristic features for time-series analysis or machine learning applicat ...
Download / Learn more Package Citations See dependency  

26,264

R Packages

223,360

Dependencies

70,244

Author Associations

26,265

Publication Badges

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