| markovchain-package | Easy Handling Discrete Time Markov Chains |
| !=-method | Class '"markovchain"' |
| *-method | Class '"markovchain"' |
| ==-method | Class '"markovchain"' |
| absorbingStates | Various function to perform structural analysis of DTMC |
| absorbingStates-method | Class '"markovchain"' |
| assessOrder | Various functions to perform statistical inference of DTMC |
| assessStationarity | Various functions to perform statistical inference of DTMC |
| blanden | Mobility between income quartiles |
| canonicForm | Various function to perform structural analysis of DTMC |
| canonicForm-method | Class '"markovchain"' |
| coerce-method | Class '"markovchain"' |
| communicatingClasses | Various function to perform structural analysis of DTMC |
| conditionalDistribution | 'conditionalDistribution' of a Markov Chain |
| conditionalDistribution-method | Class '"markovchain"' |
| craigsendi | CD4 cells counts on HIV Infects between zero and six month |
| createSequenceMatrix | Function to fit a discrete Markov chain |
| ctmc-class | Class '"ctmc"' |
| ctmcFit | Function to fit a CTMC |
| dim-method | Class '"ctmc"' |
| dim-method | Class '"markovchain"' |
| dim-method | Class '"markovchainList"' |
| divergenceTest | Various functions to perform statistical inference of DTMC |
| firstPassage | First passage across states |
| fitHigherOrder | Functions to fit a higher order Markov chain |
| generatorToTransitionMatrix | Function to obtain the transition matrix from the generator. |
| HigherOrderMarkovChain-class | Class '"HigherOrderMarkovChain"' |
| holson | Holson data set |
| inferHyperparam | Function to infer the hyperparameters for Bayesian inference from an a priori matrix or a data set |
| initialize-method | Class '"ctmc"' |
| initialize-method | Class '"markovchain"' |
| is.accessible | Verify if a state j is reachable from state i. |
| is.irreducible | Function to check if a Markov chain is irreducible |
| markovchain | Easy Handling Discrete Time Markov Chains |
| markovchain-class | Class '"markovchain"' |
| markovchainFit | Function to fit a discrete Markov chain |
| markovchainList-class | Class '"markovchainList"' |
| markovchainListFit | Fit a markovchainList |
| markovchainSequence | Function to generate a sequence of states from homogeneous or non-homogeneous Markov chains. |
| multinomialConfidenceIntervals | A function to compute multinomial confidence intervals of DTMC |
| names-method | Class '"markovchain"' |
| names<--method | Class '"markovchain"' |
| period | Various function to perform structural analysis of DTMC |
| plot-method | Class '"markovchain"' |
| predict-method | Class '"markovchain"' |
| predict-method | Class '"markovchainList"' |
| predictiveDistribution | Function to compute the probability of observing a new data set, given a data set |
| preproglucacon | Preprogluccacon DNA protein bases sequences |
| print-method | Class '"markovchain"' |
| print-method | Class '"markovchainList"' |
| priorDistribution | Prior Distribution |
| rain | Alofi island daily rainfall |
| rctmc | Function to generate a sequence of random CTMC transitions. |
| recurrentClasses | Various function to perform structural analysis of DTMC |
| rmarkovchain | Function to generate a sequence of states from homogeneous or non-homogeneous Markov chains. |
| seq2freqProb | Functions to fit a higher order Markov chain |
| seq2matHigh | Functions to fit a higher order Markov chain |
| show-method | Class '"markovchain"' |
| show-method | Class '"markovchainList"' |
| states | Defined states of a transition matrix |
| states-method | Class '"ctmc"' |
| states-method | Class '"markovchain"' |
| steadyStates | Stationary states of a 'markovchain' objeect |
| steadyStates-method | Class '"ctmc"' |
| steadyStates-method | Class '"markovchain"' |
| summary-method | Class '"markovchain"' |
| t-method | Class '"markovchain"' |
| transientStates | Various function to perform structural analysis of DTMC |
| transientStates-method | Class '"markovchain"' |
| transitionProbability | Function to get the transition probabilities from initial to subsequent status. |
| transitionProbability-method | Class '"markovchain"' |
| verifyMarkovProperty | Various functions to perform statistical inference of DTMC |
| [-method | Class '"markovchain"' |
| [[-method | Class '"markovchainList"' |
| ^-method | Class '"markovchain"' |