All necessary code to apply methods to physical activity data sets and run simulation studies in the PACwithDDM paper, as well as source for the paper itself. Models are mixture of Gaussians, random forest, multinomial logistic regression estimated with bagging and boosting, hidden Markov model with mixture of Gaussians for observation distribution, and conditional random field estimated with bagging and boosting.
|Maintainer||Evan Ray <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on GitHub|
Install the latest version of this package by entering the following in R:
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.