TLBC (1.0)

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Two-Level Behavior Classification.

Contains functions for training and applying two-level random forest and hidden Markov models for human behavior classification from raw tri-axial accelerometer and/or GPS data. Includes functions for training a two-level model, applying the model to data, and computing performance.

Maintainer: Katherine Ellis
Author(s): Katherine Ellis

License: GPL-2

Uses: caret, HMM, randomForest, signal, stringr

Released about 4 years ago.



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