Man pages for jordanaron22/PartiallyObservedHMM
HMM for Partiall Observed Three Diagnostic Test Data

BackwardLinearAdapted Backward Algorithm
BackwardLinearRaffAdapted Backward Algorithm for Partially Observed Data and...
CalcClassificationLinEstimates Classification Probabilities
CalcClassificationLinRaffEstimates Classification Probabilities for Rafferty Method
CalcInitialLinEstimates Initial Probabilities
CalcInitialLinRaffEstimates Initial Probabilities for Rafferty Method
CalcLikelihoodMoverCalculates Likelihood of Movers
CalcLikelihoodStayerCalculates Likelihood of Stayers
CalcStayerLinEstimates Stayer Proportion
CalcTransitionLinEstimates Transition Probabilities
CalcTransitionLinRaffEstimates Transition Probabilities for Rafferty Method
ClassificationClassifies observed given truth
CombineandPatternCombines three tests and patternizes them
CombinerCombines three data matrices
CompleteDataLogLikelihoodExpected Value of Complete Data Log Likelihood Given First...
EMRuns EM Algorithm
EMRaffRuns EM Algorithm for Rafferty Method
ForwardLinearAdapted Forward Algorithm
ForwardLinearRaffAdapted Forward Algorithm for Partially Observed Data and...
GenerateDataGenerates Simulated Latent Data
GenerateDataRaffGenerateData() for Rafferty Method
GenerateObsGenerates Simulated Observed Data
GenerateSimulatedDataGenerates Simulated Data
GenerateSimulatedDataRaffGenerates Simulated Data for Rafferty Method
GetClassStandard Classification Matrix
GetInitStandard Initial vector
GetInitRaffStandard Initial Matrix for Rafferty Method
GetInitTrueCalculates True Intial Probabilities
GetInitTrueRaffCalculates True Intial Probabilities for Rafferty Method
GetPatternsPatternizes Data
GetTranStandard Transition Matrix
GetTranTrueCalculates True Transiition Probabilities
GetTranTrueRaffCalculates True Transiition Probabilities for Rafferty Method
IntroduceMissingIntroduces Misisng data
IntroduceMissingAllIntroduced Missing Data
IntroduceMissingColpoIntroduces Misisng data
IntroducePersistenceIntroduces Persistence
NormalizeNormalized Matrices
numOfStatesReturns Number of states
Pattern2DataTurns patterns into data array
persitenceHelperHelper Function for IntroducePersistence
ProdClassCalculates Probability Latent Values are 0 given observed...
SeperatorSeperates Three Tests
StateCalculatorCalculates State Given Individual Test Results
jordanaron22/PartiallyObservedHMM documentation built on May 21, 2020, 6:49 p.m.