R: Estimation, Simulation and Reliability of Drifting Markov Models

# Estimation, Simulation and Reliability of Drifting Markov Models

## Documentation for package ‘drimmR’ version 1.0.3

- DESCRIPTION file
- Package NEWS

## Help Pages

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