@@ -125,46 +125,70 @@ If you use ModelArray, please cite:
125125
126126- [`ModelArray()`](https://pennlinc.github.io/ModelArray/reference/ModelArray.md)
127127 : Load element-wise data from an HDF5 file
128+
128129- [`ModelArray.gam()`](https://pennlinc.github.io/ModelArray/reference/ModelArray.gam.md)
129- : Run GAM for element-wise data
130+ :
131+
132+ Fit element-wise generalized additive models no model-level p-value
133+ for GAMs, so there is no `correct.p.value.model` argument.
134+
130135- [`ModelArray.lm()`](https://pennlinc.github.io/ModelArray/reference/ModelArray.lm.md)
131136 : Fit element-wise linear models
137+
132138- [`ModelArray.wrap()`](https://pennlinc.github.io/ModelArray/reference/ModelArray.wrap.md)
133139 : Run a user-supplied function for element-wise data
140+
134141- [`analyseOneElement.gam()`](https://pennlinc.github.io/ModelArray/reference/analyseOneElement.gam.md)
135142 : Fit GAM for one element
143+
136144- [`analyseOneElement.lm()`](https://pennlinc.github.io/ModelArray/reference/analyseOneElement.lm.md)
137145 : Fit linear model for one element.
146+
138147- [`analyseOneElement.wrap()`](https://pennlinc.github.io/ModelArray/reference/analyseOneElement.wrap.md)
139148 : Run a user-supplied function for one element
149+
140150- [`analysisNames()`](https://pennlinc.github.io/ModelArray/reference/analysisNames.md)
141151 : Names of analyses in a ModelArray
152+
142153- [`elementMetadata()`](https://pennlinc.github.io/ModelArray/reference/elementMetadata.md)
143154 : Element metadata from a ModelArray
155+
144156- [`exampleElementData()`](https://pennlinc.github.io/ModelArray/reference/exampleElementData.md)
145157 : Example per-element data.frame for user functions
158+
146159- [`gen_gamFormula_contIx()`](https://pennlinc.github.io/ModelArray/reference/gen_gamFormula_contIx.md)
147160 : Generate GAM formula with continuous\*continuous interaction
161+
148162- [`gen_gamFormula_fxSmooth()`](https://pennlinc.github.io/ModelArray/reference/gen_gamFormula_fxSmooth.md)
149163 : Generate GAM formula with factor-smooth interaction
164+
150165- [`h5summary()`](https://pennlinc.github.io/ModelArray/reference/h5summary.md)
151166 : Summarize an h5 file without loading the full ModelArray
167+
152168- [`mergeModelArrays()`](https://pennlinc.github.io/ModelArray/reference/mergeModelArrays.md)
153169 : Merge multiple ModelArrays from different h5 files
170+
154171- [`nElements()`](https://pennlinc.github.io/ModelArray/reference/nElements.md)
155172 : Number of elements in a ModelArray
173+
156174- [`nInputFiles()`](https://pennlinc.github.io/ModelArray/reference/nInputFiles.md)
157175 : Number of input files in a ModelArray
176+
158177- [`numElementsTotal()`](https://pennlinc.github.io/ModelArray/reference/numElementsTotal.md)
159178 : Number of elements in ModelArray
179+
160180- [`results()`](https://pennlinc.github.io/ModelArray/reference/results.md)
161181 : Statistical results of a ModelArray object
182+
162183- [`scalarNames()`](https://pennlinc.github.io/ModelArray/reference/scalarNames.md)
163184 : Names of scalars in a ModelArray
185+
164186- [`scalars()`](https://pennlinc.github.io/ModelArray/reference/scalars.md)
165187 : Element-wise scalar data of a ModelArray object
188+
166189- [`sources()`](https://pennlinc.github.io/ModelArray/reference/sources.md)
167190 : Source filenames of a ModelArray object
191+
168192- [`writeResults()`](https://pennlinc.github.io/ModelArray/reference/writeResults.md)
169193 : Write outputs from element-wise statistical analysis to the HDF5
170194 file.
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