How first-data-lab/fdaimage works
FDAimage is an R package for fitting and using functional-image models. The apparent workflow is to fit a model, then inspect it or make predictions; the package also exposes cross-validation, SCC, and data-access functions. The tree identifies separate estimator and bootstrap modules, but no README or source excerpts were provided, so their exact call relationships and the meaning of SCC cannot be verified. Edges therefore show only the public-facing entry points, not inferred internal wiring.
Main entry points: fit.FDAimage.R Fit model · predict.FDAimage.R Prediction · plot.FDAimage.R Plot model · cv.FDAimage.R Cross-validation
Components 13
Model fitting
- Fit model
R/fit.FDAimage.R - HO estimator
R/FDAimage.est.ho.R - PC estimator
R/FDAimage.est.pc.R - HO correction
R/FDAimage.CC.ho.R - PC correction
R/FDAimage.CC.pc.R
Model use
- Prediction
R/predict.FDAimage.R - Plot model
R/plot.FDAimage.R
Supporting methods
- Cross-validation
R/cv.FDAimage.R - SCC method
R/scc.FDAimage.R - Bootstrap
R/CoverBoot.R - Data access
R/data.FDAimage.R - Bundled datasets
data
Other components
- R user
Connections 6
- R user → Fit model: fits model
- R user → Prediction: requests prediction
- R user → Plot model: plots model
- R user → Cross-validation: runs validation
- R user → SCC method: uses method
- R user → Data access: requests data