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TLBC: 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.
Getting started
Browse package contents
Package details |
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| Author | Katherine Ellis |
| Maintainer | Katherine Ellis <kellis@ucsd.edu> |
| License | GPL-2 |
| Version | 1.0 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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Try the TLBC package in your browser
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