4f87f6c313e3c8e9a7b16d8b9d2ed5f6 *DESCRIPTION
8ca540e145360b5d42b84e9bc311e148 *LICENSE
2853eabb104c30b1e8175d0dd29d6f57 *NAMESPACE
76e0d0cd1b49854f8cdd05e03918d3bb *R/model_functions.R
81413bfb577a2c7f2d40ec30f0287481 *R/zzz.R
b7d1138ee106c6ee4912bb1b0bb5020d *inst/examples/compare_direct.R
d647cc9751653ef1091d2a3e0221cb57 *inst/examples/predict_livertests.R
9b494de61fa9e9bb70f374173305963d *inst/models/rinet_1d.keras
b89407d9eed7ff2bc469fba5b943f8b2 *inst/models/rinet_2d.keras
7ebca6486f8f23cec88533b9bec467ce *inst/models/scaler_1d.pkl
0fadbd7999cb4b66367c14614128390e *inst/models/scaler_2d.pkl
75e4166c376c52c0a79612db922ed8bd *man/dot-correlation_to_covariance.Rd
535eafb0fa42c7d8c61a1332c94b4fb8 *man/dot-extract_features.Rd
85554774c9c1513d6aa622826d1034bd *man/dot-load_model.Rd
cba956119e89bd3e5058adebfa0602fd *man/dot-load_scaler.Rd
9d93dac6bb02b0ee1ca4ce72b777042e *man/predict_rinet.Rd
251567b836d96a02e75a10de3b07bd6a *man/predict_rinet_1d.Rd
e837508ea93f6082e0229cf44ebfb9f9 *man/predict_rinet_2d.Rd
842cbf7d6bed5d56df15930259135faf *man/rinet-package.Rd
