Generalized Additive Mixed Model Interface
Overview
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.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 9
- Examples that run
- 100%8 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 81%
- Return-value docs
- 100%
- Help pages citing references
- 100%
Downloads
Dependencies
Installing gammi adds 8 packages (6 with compiled code, 11 MB of source tarballs). Heaviest: lme4 4.3 MB, nloptr 2.1 MB, Rcpp 1.8 MB.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 0.2Latest
- 0.12024-09-15
- RR 4.4.0 released · 2024-04-24
Package metadata
- First published
- 2024-09-15
- Total releases
- 2 / 2 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 8.5 KB / 1 file
- Download size
- 38 KB
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