BackwardLinear | Adapted Backward Algorithm |
BackwardLinearRaff | Adapted Backward Algorithm for Partially Observed Data and... |
CalcClassificationLin | Estimates Classification Probabilities |
CalcClassificationLinRaff | Estimates Classification Probabilities for Rafferty Method |
CalcInitialLin | Estimates Initial Probabilities |
CalcInitialLinRaff | Estimates Initial Probabilities for Rafferty Method |
CalcLikelihoodMover | Calculates Likelihood of Movers |
CalcLikelihoodStayer | Calculates Likelihood of Stayers |
CalcStayerLin | Estimates Stayer Proportion |
CalcTransitionLin | Estimates Transition Probabilities |
CalcTransitionLinRaff | Estimates Transition Probabilities for Rafferty Method |
Classification | Classifies observed given truth |
CombineandPattern | Combines three tests and patternizes them |
Combiner | Combines three data matrices |
CompleteDataLogLikelihood | Expected Value of Complete Data Log Likelihood Given First... |
EM | Runs EM Algorithm |
EMRaff | Runs EM Algorithm for Rafferty Method |
ForwardLinear | Adapted Forward Algorithm |
ForwardLinearRaff | Adapted Forward Algorithm for Partially Observed Data and... |
GenerateData | Generates Simulated Latent Data |
GenerateDataRaff | GenerateData() for Rafferty Method |
GenerateObs | Generates Simulated Observed Data |
GenerateSimulatedData | Generates Simulated Data |
GenerateSimulatedDataRaff | Generates Simulated Data for Rafferty Method |
GetClass | Standard Classification Matrix |
GetInit | Standard Initial vector |
GetInitRaff | Standard Initial Matrix for Rafferty Method |
GetInitTrue | Calculates True Intial Probabilities |
GetInitTrueRaff | Calculates True Intial Probabilities for Rafferty Method |
GetPatterns | Patternizes Data |
GetTran | Standard Transition Matrix |
GetTranTrue | Calculates True Transiition Probabilities |
GetTranTrueRaff | Calculates True Transiition Probabilities for Rafferty Method |
IntroduceMissing | Introduces Misisng data |
IntroduceMissingAll | Introduced Missing Data |
IntroduceMissingColpo | Introduces Misisng data |
IntroducePersistence | Introduces Persistence |
Normalize | Normalized Matrices |
numOfStates | Returns Number of states |
Pattern2Data | Turns patterns into data array |
persitenceHelper | Helper Function for IntroducePersistence |
ProdClass | Calculates Probability Latent Values are 0 given observed... |
Seperator | Seperates Three Tests |
StateCalculator | Calculates State Given Individual Test Results |
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