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.
|Date of publication||2015-10-14 18:13:22|
|Maintainer||Katherine Ellis <firstname.lastname@example.org>|
|Package repository||View on CRAN|
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