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.

Package details

AuthorKatherine Ellis
MaintainerKatherine Ellis <>
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the TLBC package in your browser

Any scripts or data that you put into this service are public.

TLBC documentation built on May 1, 2019, 8:44 p.m.