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mvrsquared  

Compute the Coefficient of Determination for Vector or Matrix Outcomes
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("mvrsquared", "0.1.5")



Attach the package and use:
library("mvrsquared")
Maintained by
Tommy Jones
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-02-20
Latest Update: 2023-07-15
Description:
Compute the coefficient of determination for outcomes in n-dimensions. May be useful for multidimensional predictions (such as a multinomial model) or calculating goodness of fit from latent variable models such as probabilistic topic models like latent Dirichlet allocation or deterministic topic models like latent semantic analysis. Based on Jones (2019) .
How to cite:
Tommy Jones (2020). mvrsquared: Compute the Coefficient of Determination for Vector or Matrix Outcomes. R package version 0.1.5, https://cran.r-project.org/web/packages/mvrsquared. Accessed 03 Feb. 2025.
Previous versions and publish date:
0.0.3 (2020-02-20 15:00), 0.1.0 (2020-06-25 08:00), 0.1.1 (2020-10-21 06:50), 0.1.2 (2021-09-20 08:50), 0.1.4 (2022-06-01 20:20)
Other packages that cited mvrsquared R package
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Other R packages that mvrsquared depends, imports, suggests or enhances
Complete documentation for mvrsquared
Functions, R codes and Examples using the mvrsquared R package
Some associated functions: calc_rsquared . mvrsquared . 
Some associated R codes: RcppExports.R . calc_rsquared.R . mvrsquared.R .  Full mvrsquared package functions and examples
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