Travis-ci status:

This R package can be used for the analysis of asymmetric hidden Markov models. The files together form a package.

After the package has been installed, you can load it using:

`library(hmma)`

After the package has been loaded, you find its description, functios and vignettes by:

`?hmma`

All package functions and files must be organised in the R folder. To use and test the package, place files in the Development folder.

A demonstration:

```
# Show part of the data set
head(hmmaExampleData$x, 10)
# We specify the amount of states and fit the model
amountOfStates <- 3
fit <- learnModel(hmmaExampleData, amountOfStates = amountOfStates)
# Visualise the model
visualise(fit)
# Load required libraries and files for visualising the Bayesian networks
library(bnlearn)
for (i in 1:amountOfStates) {
graphviz.plot(fit$parms.emission[[i]])
}
```

The datafile must comply with the required format (more on that later). An example dataset is provided in `hmmaExampleData`

.

For a full demonstration, please refer to the introduction vignette that can be found by:

`browseVignettes(package = "hmma")`