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llms.txt

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@@ -125,46 +125,70 @@ If you use ModelArray, please cite:
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- [`ModelArray()`](https://pennlinc.github.io/ModelArray/reference/ModelArray.md)
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: Load element-wise data from an HDF5 file
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- [`ModelArray.gam()`](https://pennlinc.github.io/ModelArray/reference/ModelArray.gam.md)
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: Run GAM for element-wise data
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:
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Fit element-wise generalized additive models no model-level p-value
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for GAMs, so there is no `correct.p.value.model` argument.
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- [`ModelArray.lm()`](https://pennlinc.github.io/ModelArray/reference/ModelArray.lm.md)
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: Fit element-wise linear models
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- [`ModelArray.wrap()`](https://pennlinc.github.io/ModelArray/reference/ModelArray.wrap.md)
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: Run a user-supplied function for element-wise data
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- [`analyseOneElement.gam()`](https://pennlinc.github.io/ModelArray/reference/analyseOneElement.gam.md)
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: Fit GAM for one element
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- [`analyseOneElement.lm()`](https://pennlinc.github.io/ModelArray/reference/analyseOneElement.lm.md)
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: Fit linear model for one element.
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- [`analyseOneElement.wrap()`](https://pennlinc.github.io/ModelArray/reference/analyseOneElement.wrap.md)
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: Run a user-supplied function for one element
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- [`analysisNames()`](https://pennlinc.github.io/ModelArray/reference/analysisNames.md)
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: Names of analyses in a ModelArray
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- [`elementMetadata()`](https://pennlinc.github.io/ModelArray/reference/elementMetadata.md)
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: Element metadata from a ModelArray
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- [`exampleElementData()`](https://pennlinc.github.io/ModelArray/reference/exampleElementData.md)
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: Example per-element data.frame for user functions
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- [`gen_gamFormula_contIx()`](https://pennlinc.github.io/ModelArray/reference/gen_gamFormula_contIx.md)
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: Generate GAM formula with continuous\*continuous interaction
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- [`gen_gamFormula_fxSmooth()`](https://pennlinc.github.io/ModelArray/reference/gen_gamFormula_fxSmooth.md)
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: Generate GAM formula with factor-smooth interaction
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- [`h5summary()`](https://pennlinc.github.io/ModelArray/reference/h5summary.md)
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: Summarize an h5 file without loading the full ModelArray
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- [`mergeModelArrays()`](https://pennlinc.github.io/ModelArray/reference/mergeModelArrays.md)
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: Merge multiple ModelArrays from different h5 files
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- [`nElements()`](https://pennlinc.github.io/ModelArray/reference/nElements.md)
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: Number of elements in a ModelArray
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- [`nInputFiles()`](https://pennlinc.github.io/ModelArray/reference/nInputFiles.md)
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: Number of input files in a ModelArray
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- [`numElementsTotal()`](https://pennlinc.github.io/ModelArray/reference/numElementsTotal.md)
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: Number of elements in ModelArray
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- [`results()`](https://pennlinc.github.io/ModelArray/reference/results.md)
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: Statistical results of a ModelArray object
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- [`scalarNames()`](https://pennlinc.github.io/ModelArray/reference/scalarNames.md)
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: Names of scalars in a ModelArray
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- [`scalars()`](https://pennlinc.github.io/ModelArray/reference/scalars.md)
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: Element-wise scalar data of a ModelArray object
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- [`sources()`](https://pennlinc.github.io/ModelArray/reference/sources.md)
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: Source filenames of a ModelArray object
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- [`writeResults()`](https://pennlinc.github.io/ModelArray/reference/writeResults.md)
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: Write outputs from element-wise statistical analysis to the HDF5
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file.

pkgdown.yml

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installations: installations.html
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modelling: modelling.html
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walkthrough: walkthrough.html
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last_built: 2026-03-31T00:34Z
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last_built: 2026-03-31T00:50Z
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urls:
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reference: https://pennlinc.github.io/ModelArray/reference
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article: https://pennlinc.github.io/ModelArray/articles

reference/ModelArray.gam.html

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