Package index

All functions

cacheFoundationModel()

Cache an immutable physiological foundation model

catch22()

Calculate canonical catch22 features

domainAdapt()

Align source embeddings to an unlabeled target domain with CORAL

exportONNX()

Export a fitted PhysioML torch model to ONNX

fineTune()

Fine-tune a fitted torch model

foundationCacheInfo()

Inspect immutable foundation-model cache entries

foundationEmbed()

Obtain governed foundation-model embeddings

freezeLayers()

Freeze named parts of a fitted torch model

importONNX()

Import a governed PhysioML ONNX graph

minirocket()

Fit or apply the MiniRocket transform

onnxPredict()

Predict through ONNX Runtime on CPU

peDataset()

Create a case-aware torch Dataset

peModel()

Construct a reference torch model

peReducedFeatures()

Create a case-by-feature design matrix

predictModel()

Predict with a trained deep-learning model

rocket()

Fit or apply the ROCKET transform

trainModel()

Train a reference torch model through luz

validateSubjectSplit()

Validate a split intended to generalize to unseen subjects

withCaseData()

Attach explicit subject identity to signal cases or feature rows