Package: gammi 0.1
Nathaniel E. Helwig
gammi: Generalized Additive Mixed Model Interface
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.
Authors:
gammi_0.1.tar.gz
gammi_0.1.tar.gz(r-4.5-noble)gammi_0.1.tar.gz(r-4.4-noble)
gammi_0.1.tgz(r-4.4-emscripten)gammi_0.1.tgz(r-4.3-emscripten)
gammi.pdf |gammi.html✨
gammi/json (API)
# Install 'gammi' in R: |
install.packages('gammi', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- exam - Cross-Classified Examination Data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 months agofrom:dc6f7cd3be. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 15 2024 |
R-4.5-linux | OK | Nov 15 2024 |
Exports:gammigammi.defaultgammi.formulaplot.gammipredict.gammirowKroneckerspline.basisspline.model.matrixsummary.gammivisualizer1visualizer2
Dependencies:bootlatticelme4MASSMatrixminqanlmenloptrRcppRcppEigen
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Cross-Classified Examination Data | exam |
Fit a Generalized Additive Mixed Model | gammi gammi.default gammi.formula |
Plot Method for gammi Fits | plot.gammi |
Predict Method for gammi Fits | predict.gammi |
Spectral Spline Basis | spline.basis |
Construct Design Matrices via Spectral Splines | rowKronecker spline.model.matrix |
Startup Message for gammi | gammiStartupMessage StartupMessage |
Summary Method for gammi Fits | summary.gammi |
Internal Functions for Plot Method | visualizer1 visualizer2 |