Utilities to Facilitate Modeling Routines with Generalized Additive Models
Overview
After fitting a Generalized Additive (Mixed) Model, the next step is often to obtain predicted values for certain combinations of predictors for visualization of estimated effects in the model. It involves constructing a new data frame, add predicted values, and finally makes a (contour) plot. This package is intended to facilitate these steps to visualize estimated effects in a generalized additive model. The underlying modeling methodology is described in Wood (2017, ISBN:9781498728331).
- Address CRAN reviewer feedback for resubmission:
- DESCRIPTION now references Wood (2017, ISBN:9781498728331) for the underlying GAM methodology.
- All
\dontrun{}example wrappers replaced with\donttest{}. The examples are real, runnable code; they were wrapped only because some fit non-trivial GAMs that may exceed CRAN's 5-second budget, not because they cannot be executed. - The
plot_partial()example is now self-contained (the previous example referenced model objects that were never defined inside the example block).
From NEWS.md in the release
Install
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- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK8 OK2026-05-12
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- Help pages
- 9 (1 internal)includes a package overview page
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- 38%3 run in a plain check · 5 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 100%
- Documented parameters
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- Return-value docs
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- Help pages citing references
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People & History
- 0.8.1Latest2026-05-11 · current release
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-05-11
- Total releases
- 1 / 1 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.5
- Download size
- 4.8 MB
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