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"' |
firstPassage | First passage across states |
fitHigherOrder | Functions to fit a higher order Markov chain |
fitHighOrderMultivarMC | Function to fit Higher Order Multivariate Markov chain |
generatorToTransitionMatrix | Function to obtain the transition matrix from the generator. |
HigherOrderMarkovChain-class | Class '"HigherOrderMarkovChain"' |
holson | Holson data set |
hommc | An S4 class for representing High Order Multivariate Markovchain (HOMMC) |
hommc-class | An S4 class for representing High Order Multivariate Markovchain (HOMMC) |
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 |
kullback | Example from Kullback and Kupperman Tests for Contingency Tables |
markovchain | Easy Handling Discrete Time Markov Chains |
markovchain-class | Class '"markovchain"' |
markovchainFit | Function to fit a discrete Markov chain |
markovchainList-class | Class '"markovchainList"' |
markovchainListFit | markovchainListFit |
markovchainSequence | Function to generate a sequence of states from homogeneous Markov chains. |
multinomialConfidenceIntervals | A function to compute multinomial confidence intervals of DTMC |
name | Method to retrieve name of markovchain object |
name-method | Method to retrieve name of markovchain object |
name<- | Method to set name of markovchain object |
name<--method | Method to set name of markovchain object |
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. |
sales | Sales Demand Sequences |
seq2freqProb | Functions to fit a higher order Markov chain |
seq2matHigh | Functions to fit a higher order Markov chain |
show-method | Function to display the details of hommc object |
show-method | Class '"markovchain"' |
show-method | Class '"markovchainList"' |
sort-method | Class '"markovchain"' |
states | Defined states of a transition matrix |
states-method | Class '"ctmc"' |
states-method | Defined states of a transition matrix |
steadyStates | Stationary states of a 'markovchain' objeect |
steadyStates-method | Class '"ctmc"' |
steadyStates-method | Stationary states of a 'markovchain' objeect |
summary-method | Class '"markovchain"' |
t-method | Class '"markovchain"' |
transientStates | Various function to perform structural analysis of DTMC |
transientStates-method | Various function to perform structural analysis of DTMC |
transition2Generator | Return the generator matrix for a corresponding transition matrix |
transitionProbability | Function to get the transition probabilities from initial to subsequent states. |
transitionProbability-method | Function to get the transition probabilities from initial to subsequent states. |
verifyEmpiricalToTheoretical | Various functions to perform statistical inference of DTMC |
verifyHomogeneity | Various functions to perform statistical inference of DTMC |
verifyMarkovProperty | Various functions to perform statistical inference of DTMC |
[-method | Class '"markovchain"' |
[[-method | Class '"markovchainList"' |
^-method | Class '"markovchain"' |