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StroupGLMM: R Codes and Datasets for Generalized Linear Mixed Models: Modern Concepts, Methods and Applications by Walter W. Stroup

Muhammad Yaseen1,2, Adeela Munawar2, Walter W. Stroup3, and Kent M. Eskridge3

  1. School of Mathematical & Statistical Sciences, Clemson University, Clemson, South Carolina, USA

  2. Department of Mathematics and Statistics, University of Agriculture Faisalabad, Pakistan

  3. Department of Statistics, University of Nebraska Lincoln, NE, USA

minimal R version License: GPL v3 CRAN_Status_Badge rstudio mirror downloads

develVersion

Project Status: WIP lifecycle Last-changedate ***

Description

R Codes and Datasets for Stroup, W. W. (2012). Generalized Linear Mixed Models Modern Concepts, Methods and Applications, CRC Press.

Installation

The package can be installed from CRAN as follows:

install.packages("StroupGLMM", dependencies = TRUE)

The development version can be installed from github as follows:

if (!require("remotes")) install.packages("remotes")
remotes::install_github("myaseen208/StroupGLMM")

What’s new

To know whats new in this version type:

news(package = "StroupGLMM")

CRAN page

Github page

Documentation website

Citing StroupGLMM

To cite the methods in the package use:

citation("StroupGLMM")
Please, support this project by citing it in your publications!

  Yaseen M, Munawar A, Stroup WW, Eskridge KM (2016). _StroupGLMM: R
  Codes and Datasets for Generalized Linear Mixed Models: Modern
  Concepts, Methods and Applications by Walter W. Stroup_.

A BibTeX entry for LaTeX users is

  @Manual{,
    title = {StroupGLMM: R Codes and Datasets for Generalized Linear Mixed Models: Modern Concepts, Methods and Applications by Walter W. Stroup},
    author = {Muhammad Yaseen and Adeela Munawar and Walter W. Stroup and Kent M. Eskridge},
    year = {2016},
    journal = {The Comprehensive R Archive Network (CRAN)},
  }

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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