Other packages > Find by keyword >

latent2likert  

Converting Latent Variables into Likert Scale Responses
View on CRAN: Click here


Download and install latent2likert package within the R console
Install from CRAN:
install.packages("latent2likert")

Install from Github:
library("remotes")
install_github("cran/latent2likert")

Install by package version:
library("remotes")
install_version("latent2likert", "1.2.1")



Attach the package and use:
library("latent2likert")
Maintained by
Marko Lalovic
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-06-24
Latest Update: 2024-06-24
Description:
Effectively simulates the discretization process inherent to Likert scales while minimizing distortion.It converts continuous latent variables into ordinal categories to generate Likert scale item responses.Particularly useful for accurately modeling and analyzing survey data that use Likert scales, especially when applying statistical techniques that require metric data.
How to cite:
Marko Lalovic (2024). latent2likert: Converting Latent Variables into Likert Scale Responses. R package version 1.2.1, https://cran.r-project.org/web/packages/latent2likert. Accessed 07 Nov. 2024.
Previous versions and publish date:
No previous versions
Other packages that cited latent2likert R package
View latent2likert citation profile
Other R packages that latent2likert depends, imports, suggests or enhances
Complete documentation for latent2likert
Functions, R codes and Examples using the latent2likert R package
Full latent2likert package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

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  
bacondecomp  
Goodman-Bacon Decomposition
Decomposition for differences-in-differences with variation in treatment timing from Goodman-Bacon ...
Download / Learn more Package Citations See dependency  
con2aqi  
Calculate the AQI from Pollutant Concentration
To calculate the AQI (Air Quality Index) from pollutant concentration data. O3, PM2.5, PM10, CO, SO ...
Download / Learn more Package Citations See dependency  
robregcc  
Robust Regression with Compositional Covariates
We implement the algorithm estimating the parameters of the robust regression model with composition ...
Download / Learn more Package Citations See dependency  

23,092

R Packages

198,677

Dependencies

62,675

Author Associations

23,089

Publication Badges

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