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 |