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multilevelmod  

Model Wrappers for Multi-Level Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("multilevelmod", "1.0.0")



Attach the package and use:
library("multilevelmod")
Maintained by
Hannah Frick
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-03-11
Latest Update: 2022-06-17
Description:
Bindings for hierarchical regression models for use with the 'parsnip' package. Models include longitudinal generalized linear models (Liang and Zeger, 1986) , and mixed-effect models (Pinheiro and Bates) .
How to cite:
Hannah Frick (2022). multilevelmod: Model Wrappers for Multi-Level Models. R package version 1.0.0, https://cran.r-project.org/web/packages/multilevelmod. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1.0 (2022-03-11 10:40), 0.2.0 (2022-05-04 01:00)
Other packages that cited multilevelmod R package
View multilevelmod citation profile
Other R packages that multilevelmod depends, imports, suggests or enhances
Complete documentation for multilevelmod
Functions, R codes and Examples using the multilevelmod R package
Some associated functions: gee_fit . longitudinal_counts . msa_data . multilevelmod-package . riesby . 
Some associated R codes: 0_import.R . aaa.R . data.R . gee.R . linear_reg_data.R . logistic_reg_data.R . misc.R . multilevelmod-package.R . poisson_reg_data.R .  Full multilevelmod package functions and examples
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