_abstract | markovChain | protected |
_abstractNbre | markovChain | protected |
_debug | markovChain | protected |
_format | markovChain | protected |
_generator | markovChain | protected |
_initDistribution | markovChain | protected |
_isAbstract | markovChain | protected |
_modelName | markovChain | protected |
_p | homogeneous1DRandomWalk | protected |
_q | homogeneous1DRandomWalk | protected |
_r | homogeneous1DRandomWalk | protected |
_size | homogeneous1DRandomWalk | protected |
_stateSpace | homogeneous1DRandomWalk | protected |
_stateSpaceSize | markovChain | protected |
_type | markovChain | protected |
Absorbing() | markovChain | |
absorbingStates() | markovChain | |
abstract() | markovChain | inline |
abstractNbre() | markovChain | inline |
averageHittingTime(bool *hitSetIndicator) | markovChain | |
averageHittingTimeDT(bool *hitSetIndicator) | markovChain | |
averageHittingTimeDT_iterative(bool *hitSetIndicator) | markovChain | |
BandIMSUB(std::string modelName="modelName") | markovChain | |
charVectorElt2State(SEXP elt, std::string function) | markovChain | |
communicatingClasses() | markovChain | |
copy() | markovChain | virtual |
embed() | markovChain | virtual |
format() | markovChain | inline |
generator() | markovChain | inline |
hittingTimeDistribution(int iState, bool *hitSetIndicator) | markovChain | |
homogeneous1DRandomWalk(double l, double m) | homogeneous1DRandomWalk | |
homogeneous1DRandomWalk(int sz, double l, double m) | homogeneous1DRandomWalk | |
isaccessible(int stateFrom, int stateTo) | markovChain | |
isirreducible() | markovChain | |
makeMarkovChain() | homogeneous1DRandomWalk | |
markovChain(int sz, timeType t) | markovChain | |
markovChain(transitionStructure *tr) | markovChain | |
markovChain(string format, string param[], int nbreParam, string modelName, bool isAbstract) | markovChain | |
modelName() | markovChain | inline |
NCDProperty(double epsilon) | markovChain | |
ProdFundSW(std::string modelName="modelName") | markovChain | |
read() | markovChain | |
recurrentClasses() | markovChain | |
RInside typedef | markovChain | protected |
Rmotor() | markovChain | |
RowSum(std::string modelName="modelName") | markovChain | |
RowVincent() | markovChain | |
setAbstract(string abstract[]) | markovChain | |
setAbstractNbre(int abstractNbre) | markovChain | inline |
setFormat(string format) | markovChain | inline |
setGenerator(transitionStructure *tr) | markovChain | inline |
setInitDistribution(discreteDistribution *d) | markovChain | inline |
setModelName(string modelName) | markovChain | inline |
setSizeType(const string path) | markovChain | |
SEXP typedef | markovChain | protected |
simulateChain(long int tMax, bool stat, bool traj, bool trace) | homogeneous1DRandomWalk | |
markovChain::simulateChain(double tMax, bool Stats, bool Traj, bool withIncrements, bool Print) | markovChain | virtual |
simulateChainCT(double tMax, bool stats, bool traj, bool withIncrements, bool trace) | markovChain | virtual |
simulateChainDT(int tMax, bool stats, bool traj, bool trace) | markovChain | virtual |
simulateChainR(double tMax, bool stats, bool traj, bool trace) | markovChain | |
simulateHittingTime(int iState, bool *hittingSet, int nbSamples, int tMax) | markovChain | |
simulatePSI(int tMax, bool stats, bool Traj, bool Print) | markovChain | |
stateSpaceSize() | markovChain | inline |
stationaryDistribution() | homogeneous1DRandomWalk | |
stationaryDistribution(int nMax) | homogeneous1DRandomWalk | |
markovChain::stationaryDistribution(bool progress) | markovChain | |
stationaryDistribution_iterative(string method, int tmax, double precision, string initDistribType, discreteDistribution *initDistrib, bool progress) | markovChain | |
stationaryDistribution_power(int tMax, double epsilon, discreteDistribution *iDis, bool progress) | markovChain | virtual |
stationaryDistributionCT(bool progress) | markovChain | virtual |
stationaryDistributionCT_embedding(int tMax, double epsilon, discreteDistribution *iDis, bool progress) | markovChain | virtual |
stationaryDistributionGthLD() | markovChain | |
stationaryDistributionR() | markovChain | |
stationaryDistributionSample(int nbSamples) | markovChain | |
stationaryDistributionSOR() | markovChain | |
toString(std::string format) | markovChain | |
transientDistribution(int t, int nMax) | homogeneous1DRandomWalk | |
transientDistributionDT(int fromState, int t) | markovChain | |
transientDistributionR(int fromState, double t) | markovChain | |
transitionProbability(int stateFrom, int stateTo) | markovChain | |
uniformize() | markovChain | virtual |
Vincent() | markovChain | |
write(string format, string prefix) | homogeneous1DRandomWalk | virtual |
markovChain::write(FILE *out, bool withReward) | markovChain | virtual |
markovChain::write(string format) | markovChain | inline |
~homogeneous1DRandomWalk() | homogeneous1DRandomWalk | |
~markovChain() | markovChain | virtual |