| customerExp | Customer's job size and patience Provides with a realization... |
| exampleDataAWX | Auxiliary function to create example dataframe |
| exampleDataRES | Auxiliary function to create example full data |
| exampleParams | Auxiliary function to create example parameters |
| filenamer | Utility: name the individual simulation results |
| GL0T | get gamma, lambda_0 and theta |
| grad | generic gradient function |
| gradLogLik | Gradient of the full likelihood, or a partial version |
| gradLogLik.vec | Gradient of likelihood, vector form |
| gradOneKnown | gradient when one parameter is known |
| listParams | Make Parameter list |
| makeAWXDirectories | Interactive function that creates an entire scenario |
| mleAll | Compute all MLE's for a dataset |
| mleFull | Maximum likelihood estimation - Full model |
| mleGetAll | get all MLE's for dataset |
| mleLiron | Liron MLE |
| mleOneKnown | Mle with one known parameter |
| mleTwoKnown | Mle with two known parameters |
| negLogLik | (negative) mean log-likelihood for the sinusoidal arrivals... |
| negLogLik.vec | Wrapper for negLogLik to use with optim |
| nextArrivalCosine | Next Arrival of inhomogeneous Poisson process |
| oneKnownGrad | Title f |
| oneKnownLik | Function factory for partial likelihoods |
| pipe | Pipe |
| pltArrivalsByTimeSegment | Plot the queue dynamics in a specified time interval |
| pltQueueInterval | Plot the queue dynamics in a specified time interval |
| pltRate | Plot the rate function |
| rateFactory | Rate function factory |
| RES2AWX | Utility: turn RES to AWX |
| resSimAWX | Simulation of big sample sizes, by parts |
| resSimCosine | Atomic Simulation for periodic arrivals (cosine model) |
| resSimCosineContinue | Simulate results, possibly from given initial state |
| scenarioParams | parameters by simulation scenario |
| twoKnownLik | Function factory for partial likelihoods |
| VW | Liron's Virtual Waiting function |
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