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 <kellis@ucsd.edu>
LicenseGPL-2
Version1.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("TLBC")

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