rregm: Reparameterized Regression Models

2026 Dataset Open access

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Authors: Diego Ignacio Gallardo, Marcelo Bourguignon, Márcia Brandão
DOI: 10.32614/cran.package.rregm
Cited by: 0
References: 2

Abstract

Provides estimation and data generation tools for several new regression models, including the gamma, beta, inverse gamma and beta prime distributions. These models can be parameterized based on the mean, median, mode, geometric mean and harmonic mean, as specified by the user. For details, see Bourguignon and Gallardo (2025a) and Bourguignon and Gallardo (2025b) .

Fields of Study & Subjects

Statistical Distribution Estimation and Applications Data Analysis with R Probability and Statistical Research

Publication details

Publication date
28 January 2026
Document type
Dataset