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