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gkwreg  

Generalized Kumaraswamy Regression Models for Bounded Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("gkwreg", "2.1.14")



Attach the package and use:
library("gkwreg")
Maintained by
Lopes J. E.
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-04-15
Latest Update: 2025-07-09
Description:
Implements regression models for bounded continuous data in the open interval (0,1) using the five-parameter Generalized Kumaraswamy distribution. Supports modeling all distribution parameters (alpha, beta, gamma, delta, lambda) as functions of predictors through various link functions. Provides efficient maximum likelihood estimation via Template Model Builder ('TMB'), offering comprehensive diagnostics, model comparison tools, and simulation methods. Particularly useful for analyzing proportions, rates, indices, and other bounded response data with complex distributional features not adequately captured by simpler models.
How to cite:
Lopes J. E. (2025). gkwreg: Generalized Kumaraswamy Regression Models for Bounded Data. R package version 2.1.14, https://cran.r-project.org/web/packages/gkwreg. Accessed 07 Mar. 2026.
Previous versions and publish date:
1.0.3 (2025-04-15 21:50), 1.0.7 (2025-05-01 23:30), 1.0.10 (2025-07-09 09:50), 2.1.1 (2025-11-15 13:10), 2.1.6 (2025-11-27 14:40)
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Functions, R codes and Examples using the gkwreg R package
Full gkwreg package functions and examples
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