R: Analysing Accelerometer Data Using Hidden Markov Models

# Analysing Accelerometer Data Using Hidden Markov Models

## Documentation for package ‘HMMpa’ version 1.0.1

- DESCRIPTION file.

## Help Pages

HMMpa-package | Analysing Accelerometer Data Using Hidden Markov Models
AIC_HMM | AIC and BIC Value for a Discrete Time Hidden Markov Model
Baum_Welch_algorithm | Estimation Using the Baum-Welch Algorithm
BIC_HMM | AIC and BIC Value for a Discrete Time Hidden Markov Model
cut_off_point_method | Cut-Off Point Method for Assigning Physical Activity Patterns
dgenpois | The Generalized Poisson Distribution
direct_numerical_maximization | Estimation by Directly Maximizing the log-Likelihood
forward_backward_algorithm | Calculating Forward and Backward Probabilities and Likelihood
HMMpa | Analysing Accelerometer Data Using Hidden Markov Models
HMM_based_method | Hidden Markov Method for Predicting Physical Activity Patterns
HMM_decoding | Algorithm for Decoding Hidden Markov Models (local or global)
HMM_simulation | Generating Realizations of a Hidden Markov Model
HMM_training | Training of Hidden Markov Models
initial_parameter_training | Algorithm to Find Plausible Starting Values for Parameter Estimation
local_decoding_algorithm | Algorithm for Decoding Hidden Markov Models (local)
pgenpois | The Generalized Poisson Distribution
rgenpois | The Generalized Poisson Distribution
Viterbi_algorithm | Algorithm for Decoding Hidden Markov Models (global)