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gammi  

Generalized Additive Mixed Model Interface
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("gammi", "0.2")



Attach the package and use:
library("gammi")
Maintained by
Nathaniel E. Helwig
[Scholar Profile | Author Map]
First Published: 2024-09-15
Latest Update: 2024-09-15
Description:
An interface for fitting generalized additive models (GAMs) and generalized additive mixed models (GAMMs) using the 'lme4' package as the computational engine, as described in Helwig (2024) <doi:10.3390/stats7010003>. Supports default and formula methods for model specification, additive and tensor product splines for capturing nonlinear effects, and automatic determination of spline type based on the class of each predictor. Includes an S3 plot method for visualizing the (nonlinear) model terms, an S3 predict method for forming predictions from a fit model, and an S3 summary method for conducting significance testing using the Bayesian interpretation of a smoothing spline.
How to cite:
Nathaniel E. Helwig (2024). gammi: Generalized Additive Mixed Model Interface. R package version 0.2, https://cran.r-project.org/web/packages/gammi. Accessed 22 Feb. 2025.
Previous versions and publish date:
0.1 (2024-09-15 22:30)
Other packages that cited gammi R package
View gammi citation profile
Other R packages that gammi depends, imports, suggests or enhances
Complete documentation for gammi
Functions, R codes and Examples using the gammi R package
Full gammi package functions and examples
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