Evaluate Markov model parameters
Iteratively Evaluate a Markov Model With New Parameter
Values
Check Names
Run Probabilistic Incertitude Analysis
Get Markov Model Transition Matrix
Define a Markov Model State
Iteratively Run Markov Models Over New Parameter Sets
(Heterogeneity or Probabilistic analysis)
Run Sensitivity Analysis
Compute Count of Individual in Each State per Cycle
Returns "s" if x > 1
Check if All the Elements of a List Are the Same
Run one or more Markov Model
Define That Parameters Belong to the Same Multinomial
Distribution
Return Markov Model Transition Matrix Order
Define Parameters Distribution for Probabilistc Analysis
Compute ICER
Define Transition Matrix for Markov Model
Evaluate Resampling Definition
Return Efficiency Frontier
Get Markov Model Parameters
Define a Sensitivity Analysis
Modify Object
Evaluate Markov Model States
Get values from a specific model
Define a Correlation Structure for Probabilistic
Incertitude Analysis
Return Names of State Values
Compute State Values per Cycle
Check Markov Model Transition Matrix
Discount a Quantity Over Time
Evaluate Markov Model Transition Matrix
Check Model States for Consistency
Define a Markov Model
Define Markov Model Parameters
Check Wholenumbers
Plot Results of Markov Model
Normalize Cost and Effect
Plot Results of Probabilistic Analysis
Summarise Markov Model Results
Convenience Probability Density Functions for
Probabilistic Analysis
Define Markov Model State List
Plot Sensitivity Analysis
Return parameters names
Return Number of State
Get State Names
Evaluate Markov Model