| SMAPHMM-class {SMAP} | R Documentation |
Holds parameters for a Hidden Markov Model (HMM) used in the SMAP package.
Objects are not intended to be created directly but via the
constructor function SMAPHMM.
A:"matrix" The transition
probability matrix between states.Pi:"numeric" The initial
probabilities of starting in a certain state.Phi:"matrix" A matrix that
specifies the paramaters of Gaussian distributions associated with
each hidden state. The first column specifies standard deviations,
the second specifies means.noStates:"numeric" The number
of hidden states in the HMM.signature(object = "SMAPHMM"): Returns the
transition matrix.signature(object = "SMAPHMM"): Returns the initial
probabilities.signature(object = "SMAPHMM"): Returns the
distribution parameter matrix.signature(object = "SMAPHMM"): Returns the
number of hidden states in the HMM.Robin Andersson, robin.andersson@lcb.uu.se
Andersson, R., Bruder, C. E. G., Piotrowski, A., Menzel, U., Nord, H., Sandgren, J., Hvidsten, T. R., Diaz de Stahl, T., Dumanski, J. P., Komorowski, J., A Segmental Maximum A Posteriori Approach to Array-CGH Copy Number Profiling, submitted