lesionCount

Lesion counts for three multiple sclerosis patients.
   The counts were obtained by magnetic resonance imaging,
   and were observed at monthly intervals.

datasets

Fits hidden Markov models with discrete non-parametric 
        observation distributions to data sets.  Simulates data
	from such models.  Finds most probable underlying hidden
	states, the most probable sequences of such states, and the
	log likelihood of a collection of observations given the
	parameters of the model.

Rolf Turner

hmm.discnp

Hidden Markov models with discrete non-parametric observation
        distributions.

lesionCount function

A list with three components each component being the sequence
    of counts for a given patient and consisting of a vector with
    non-negative integer entries.

format

The data were originally studied by Albert et al., (1994).
   They are were also analyzed by Altman and Petkau (2005).
   The data were kindly provided by Prof. Altman.

source

The hidden Markov models applied to these data by Albert et al.
and by MacKay and Petkau were much more complex and elaborate than
those fitted in the examples in this package.  See the references
for details.

lesionCount: Multiple sclerosis lesion counts for three patients.

Description

Usage

Arguments

format

source

Modelling

References