All Implemented Interfaces:
```
public final class ParamEstimator

                    
```
Service demand estimator for queueing network models.
Manages sampled data and dispatches to specific estimation methods including UBR, UBO, ERPS, EKF, MCMC, MLE, MLPS, FMLPS, QMLE, and Gibbs.

Nested Class Summary

Nested Classes
Modifier and Type	Class	Description

Field Summary

Fields
Modifier and Type	Field	Description
`private final Array<Array<List<SampledMetric>>>`	`samples`
`private final Array<List<SampledMetric>>`	`samplesAggr`
`private final Network`	`model`
`private final EstimatorOptions`	`options`

Constructor Summary

Constructors
Constructor	Description
`ParamEstimator(Network model, EstimatorOptions options)`

Enum Constant Summary

Enum Constants
Enum Constant	Description

Method Summary

Modifier and Type	Method	Description
`final Array<Array<List<SampledMetric>>>`	`getSamples()`	Per-class samples indexed by classIndex
`final Array<List<SampledMetric>>`	`getSamplesAggr()`	Aggregate samples indexed by nodeIndex
`final Network`	`getModel()`
`final EstimatorOptions`	`getOptions()`
`final Unit`	`addSamples(SampledMetric sampleData)`	Add a sampled metric to the estimator.
`final Array<Array<List<SampledMetric>>>`	`getData()`	Retrieve per-class sampled data.
`final Array<List<SampledMetric>>`	`getDataAggr()`	Retrieve aggregate sampled data.
`final SampledMetric`	`getArvR(Node node, JobClass jobClass)`	Get the first ArvR dataset for a given node and class.
`final SampledMetric`	`getUtil(Node node, JobClass jobClass)`	Get the first Util dataset for a given node and class.
`final SampledMetric`	`getRespT(Node node, JobClass jobClass)`	Get the first RespT dataset for a given node and class.
`final SampledMetric`	`getAggrUtil(Node node)`	Get the first aggregate Util dataset for a given node.
`final List<SampledMetric>`	`getQLen(Node node, JobClass jobClass, ConditionEvent ev)`	Get QLen datasets for a given node and class.
`final SampledMetric`	`getAggrQLen(Node node, ConditionEvent ev)`	Get the first aggregate QLen dataset for a given node.
`final SampledMetric`	`getTput(Node node, JobClass jobClass)`	Get the first Tput dataset for a given node and class.
`final String`	`autoMethod()`	Automatically select the best estimation method based on available data.
`final Unit`	`interpolate()`	Interpolate all data across all the available timestamps using spline interpolation.
`final Matrix`	`estimateAt(List<Station> nodes)`	Run the estimation at the specified nodes and update the model parameters.
`final Pair<Network, Queue>`	`buildClosedEquivalentForPS(Queue node)`	Build a closed equivalent model for open/mixed networks with PS stations.
`final static EstimatorOptions`	`defaultOptions()`	Create default estimator options.
`final static String`	`getRequiredMetrics(String method)`	Return description of metrics required by each estimation method.

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
  - ParamEstimator
```
ParamEstimator(Network model, EstimatorOptions options)
```
    Parameters:
    
    model - the Network model to estimate parameters for
    
    options - estimator configuration options
- Method Detail
  - getSamples
```
 final Array<Array<List<SampledMetric>>> getSamples()
```
    Per-class samples indexed by classIndex
  - getSamplesAggr
```
 final Array<List<SampledMetric>> getSamplesAggr()
```
    Aggregate samples indexed by nodeIndex
  - getModel
```
 final Network getModel()
```
  - getOptions
```
 final EstimatorOptions getOptions()
```
  - addSamples
```
 final Unit addSamples(SampledMetric sampleData)
```
    Add a sampled metric to the estimator.
  - getData
```
 final Array<Array<List<SampledMetric>>> getData()
```
    Retrieve per-class sampled data.
  - getDataAggr
```
 final Array<List<SampledMetric>> getDataAggr()
```
    Retrieve aggregate sampled data.
  - getArvR
```
 final SampledMetric getArvR(Node node, JobClass jobClass)
```
    Get the first ArvR dataset for a given node and class.
  - getUtil
```
 final SampledMetric getUtil(Node node, JobClass jobClass)
```
    Get the first Util dataset for a given node and class.
  - getRespT
```
 final SampledMetric getRespT(Node node, JobClass jobClass)
```
    Get the first RespT dataset for a given node and class.
  - getAggrUtil
```
 final SampledMetric getAggrUtil(Node node)
```
    Get the first aggregate Util dataset for a given node.
  - getQLen
```
 final List<SampledMetric> getQLen(Node node, JobClass jobClass, ConditionEvent ev)
```
    Get QLen datasets for a given node and class. If ev is provided, returns only the conditional match. Otherwise returns all QLen datasets (or the single one if there's only one).
  - getAggrQLen
```
 final SampledMetric getAggrQLen(Node node, ConditionEvent ev)
```
    Get the first aggregate QLen dataset for a given node.
  - getTput
```
 final SampledMetric getTput(Node node, JobClass jobClass)
```
    Get the first Tput dataset for a given node and class.
  - autoMethod
```
 final String autoMethod()
```
    Automatically select the best estimation method based on available data.
  - interpolate
```
 final Unit interpolate()
```
    Interpolate all data across all the available timestamps using spline interpolation.
  - estimateAt
```
 final Matrix estimateAt(List<Station> nodes)
```
    Run the estimation at the specified nodes and update the model parameters.
    
    Parameters:
    
    nodes - list of stations to estimate
    
    Returns:
    
    estimated demands matrix (nNodes x nClasses)
  - buildClosedEquivalentForPS
```
 final Pair<Network, Queue> buildClosedEquivalentForPS(Queue node)
```
    Build a closed equivalent model for open/mixed networks with PS stations.
  - defaultOptions
```
 final static EstimatorOptions defaultOptions()
```
    Create default estimator options.
  - getRequiredMetrics
```
 final static String getRequiredMetrics(String method)
```
    Return description of metrics required by each estimation method.

Class ParamEstimator

Nested Class Summary

Field Summary

Constructor Summary

Enum Constant Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Detail

ParamEstimator

Method Detail

getSamples

getSamplesAggr

getModel

getOptions

addSamples

getData

getDataAggr

getArvR

getUtil

getRespT

getAggrUtil

getQLen

getAggrQLen

getTput

autoMethod

interpolate

estimateAt

buildClosedEquivalentForPS

defaultOptions

getRequiredMetrics