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| cdfcompggplot2 | Cumulative Density plot using the package ggplot2 |
| ClosedJacksonNetwork | Obtains the main characteristics of a Closed Jackson Network model |
| ClosedNetwork | Obtains the main characteristics of a Closed Network model by simulation |
| combineSimulations | Combines a list of independent simulations of a queueing model, computing the mean and variance of each characteristic of interest |
| denscompggplot2 | Density histogram Plot using the package ggplot2 |
| fitData | Computes the estimated parameters of the distributions for the input data |
| FW | Distribution function of the waiting time in the system |
| FW.MarkovianModel | Distribution function of the waiting time in the system |
| FW.M_M_1 | Distribution function of the waiting time in the system |
| FW.M_M_1_INF_H | Distribution function of the waiting time in the system |
| FW.M_M_1_K | Distribution function of the waiting time in the system |
| FW.M_M_INF | Distribution function of the waiting time in the system |
| FW.M_M_S | Distribution function of the waiting time in the system |
| FW.M_M_S_INF_H | Distribution function of the waiting time in the system |
| FW.M_M_S_INF_H_Y | Distribution function of the waiting time in the system |
| FW.M_M_S_K | Distribution function of the waiting time in the system |
| FWq | Distribution function of the waiting time in the queue |
| FWq.MarkovianModel | Distribution function of the waiting time in the queue |
| FWq.M_M_1 | Distribution function of the waiting time in the queue |
| FWq.M_M_1_INF_H | Distribution function of the waiting time in the queue |
| FWq.M_M_1_K | Distribution function of the waiting time in the queue |
| FWq.M_M_INF | Distribution function of the waiting time in the queue |
| FWq.M_M_S | Distribution function of the waiting time in the queue |
| FWq.M_M_S_INF_H | Distribution function of the waiting time in the queue |
| FWq.M_M_S_INF_H_Y | Distribution function of the waiting time in the queue |
| FWq.M_M_S_K | Distribution function of the waiting time in the queue |
| goodnessFit | Computes the p-value of the chi-square test and Kolmogorov-Smirnov test |
| G_G_1 | Obtains the main characteristics of a G/G/1 model by simulation |
| G_G_1_INF_H | Obtains the main characteristics of a G/G/1/Inf/H model by simulation |
| G_G_1_K | Obtains the main characteristics of a G/G/1/K model by simulation |
| G_G_INF | Obtains the main characteristics of a G/G/Inf model by simulation |
| G_G_S | Obtains the main characteristics of a G/G/s model by simulation |
| G_G_S_INF_H | Obtains the main characteristics of a G/G/S/Inf/H model by simulation |
| G_G_S_INF_H_Y | Obtains the main characteristics of a G/G/S/Inf/H with Y replacements model by simulation |
| G_G_S_K | Obtains the main characteristics of a G/G/s/K model by simulation |
| MarkovianModel | Defines a queueing model |
| maxCustomers | Returns the maximun value of n that satisfies the condition P<sub>n</sub> > 0 |
| maxCustomers.MarkovianModel | Returns the maximun value of n that satisfies the condition P<sub>n</sub> > 0 |
| maxCustomers.M_M_1_INF_H | Returns the maximun value of n that satisfies the condition P<sub>n</sub> > 0 |
| maxCustomers.M_M_1_K | Returns the maximun value of n that satisfies the condition P<sub>n</sub> > 0 |
| maxCustomers.M_M_S_INF_H | Returns the maximun value of n that satisfies the condition P<sub>n</sub> > 0 |
| maxCustomers.M_M_S_INF_H_Y | Returns the maximun value of n that satisfies the condition P<sub>n</sub> > 0 |
| maxCustomers.M_M_S_K | Returns the maximun value of n that satisfies the condition P<sub>n</sub> > 0 |
| M_M_1 | Obtains the main characteristics of a M/M/1 queueing model |
| M_M_1_INF_H | Obtains the main characteristics of a M/M/1/Inf/H queueing model |
| M_M_1_K | Obtains the main characteristics of a M/M/1/K queueing model |
| M_M_INF | Obtains the main characteristics of a M/M/Inf queueing model |
| M_M_S | Obtains the main characteristics of a M/M/s queueing model |
| M_M_S_INF_H | Obtains the main characteristics of a M/M/s/Inf/H queueing model |
| M_M_S_INF_H_Y | Obtains the main characteristics of a M/M/s/Inf/H with Y replacements queueing model |
| M_M_S_K | Obtains the main characteristics of a M/M/S/k queueing model |
| no_distr | Defines an empty object representing the inexistence of a distribution. |
| OpenJacksonNetwork | Obtains the main characteristics of an Open Jackson network model |
| OpenNetwork | Obtains the main characteristics of an Open Network model by simulation |
| P0i | Steady-state probability of 0 customers in the system on the node i of an Open Jackson Network. |
| P0i.OpenJackson | Steady-state probability of 0 customers in the system on the node i of an Open Jackson Network. |
| Pi | Steady-state probability of n customers at node i of a network. |
| Pi.ClosedJackson | Steady-state probability of n customers at node i of a network. |
| Pi.SimulatedNetwork | Steady-state probability of n customers at node i of a network. |
| plot.list | #Shows a plot of the evolution of a variable during the simulation # # |
| plot.SimulatedModel | #Shows a plot of the evolution of a variable during the simulation # # |
| plot.SimulatedNetwork | #Shows a plot of the evolution of a variable during the simulation # # |
| Pn | Steady-state probability of having n customers in the system |
| Pn.ClosedJackson | Steady-state probability of having n customers in the system |
| Pn.MarkovianModel | Steady-state probability of having n customers in the system |
| Pn.M_M_1 | Steady-state probability of having n customers in the system |
| Pn.M_M_1_INF_H | Steady-state probability of having n customers in the system |
| Pn.M_M_1_K | Steady-state probability of having n customers in the system |
| Pn.M_M_INF | Steady-state probability of having n customers in the system |
| Pn.M_M_S | Steady-state probability of having n customers in the system |
| Pn.M_M_S_INF_H | Steady-state probability of having n customers in the system |
| Pn.M_M_S_INF_H_Y | Steady-state probability of having n customers in the system |
| Pn.M_M_S_K | Steady-state probability of having n customers in the system |
| Pn.OpenJackson | Steady-state probability of having n customers in the system |
| Pn.SimulatedModel | Steady-state probability of having n customers in the system |
| Qn | Steady-state probability of finding n customers in the system when a new customer arrives |
| Qn.MarkovianModel | Steady-state probability of finding n customers in the system when a new customer arrives |
| Qn.M_M_1_INF_H | Steady-state probability of finding n customers in the system when a new customer arrives |
| Qn.M_M_1_K | Steady-state probability of finding n customers in the system when a new customer arrives |
| Qn.M_M_S_INF_H | Steady-state probability of finding n customers in the system when a new customer arrives |
| Qn.M_M_S_INF_H_Y | Steady-state probability of finding n customers in the system when a new customer arrives |
| Qn.M_M_S_K | Steady-state probability of finding n customers in the system when a new customer arrives |
| qqcompggplot2 | Q-Q Plot using the package ggplot2 |
| summary.MarkovianModel | Shows the main graphics of the parameters of a Markovian Model |
| summaryFit | Shows three plots:The histogram and theoretical densities, the empirical and theoretical CDF's and the Q-Q plot |