plot.hmm: Plotting Hidden Markov Models.

In asbjornholk/HiddenStateModels: Fit or Create Hidden State Models

Description

Plotting Hidden Markov Models.

Usage

## S3 method for class 'hmm'
plot(
  model,
  legend_position = "topright",
  xlab = "Time",
  ylab = "Observed emissions",
  cols = 1:model$m,
  ...
)

Arguments

model	Class 'hmm' model.
legend_position	Position of legend in plots.
xlab	Text for x-axis. Default 'Time'.
ylab	Text for y-axis. Default 'Observed emissions'.
...

Value

Yields four plots stored in a list:

| | | |————–|——————————————————————-| | 'p1' | Plot of observed emissions by most likely hidden state (Global) | | 'p2' | Plot of observed emissions by most likely hidden state (Local) | | 'p3' | Plot of probs. used in Viterbi algorithm (Global) | | 'p4' | Plot of state probabilities (Local) |

Examples

## Continuation of Earthquake example

plot(hmm.EQ)

asbjornholk/HiddenStateModels documentation built on Jan. 9, 2022, 12:02 a.m.