Estimation, Simulation and Reliability of Drifting Markov Models

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Documentation for package ‘drimmR’ version 1.0.1

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drimmR-package drimmR-package
aic Akaike Information Criterion (AIC)
aic.dmm Evaluate the AIC of a drifting Markov Model
availability Availability function
bic Bayesian Information Criterion (BIC)
bic.dmm Evaluate the BIC of a drifting Markov Model
distributions Distributions for a range of positions between <start> and <end>
drimmR drimmR-package
failureRate Failure rates function
fitdmm Point by point estimates of a k-th order drifting Markov Model
getDistribution Distributions of the drifting Markov Model
getDistribution.dmm Get the distributions of the DMM
getStationaryLaw Stationary laws of the drifting Markov Model
getStationaryLaw.dmm Get the stationary laws of the DMM
getTransitionMatrix Transition matrix of the drifting Markov Model
getTransitionMatrix.dmm Get transition matrix of the drifting Markov Model
lambda lambda genome
lengthWord_probabilities Probability of occurrence of the observed word of size m in a sequence at several positions
loglik Log-likelihood of the drifting Markov Model
loglik.dmm Evaluate the log-likelihood of a drifting Markov Model
maintainability Maintainability function
reliability Reliability function
simulate Simulate a sequence under a drifting Markov model
simulate.dmm Simulate a sequence under a drifting Markov model
stationary_distributions Stationary laws for a range of positions between <start> and <end>
words_probabilities Probability of appearance of several words at several positions of a DMM
word_probabilities Probabilities of a word at several positions of a DMM
word_probability Probability of a word at a position t of a DMM