Man pages for blebedenko/impatience2
What the Package Does (One Line, Title Case)

customerExpCustomer's job size and patience Provides with a realization...
exampleDataAWXAuxiliary function to create example dataframe
exampleDataRESAuxiliary function to create example full data
exampleParamsAuxiliary function to create example parameters
filenamerUtility: name the individual simulation results
GL0Tget gamma, lambda_0 and theta
gradgeneric gradient function
gradLogLikGradient of the full likelihood, or a partial version
gradLogLik.vecGradient of likelihood, vector form
gradOneKnowngradient when one parameter is known
listParamsMake Parameter list
makeAWXDirectoriesInteractive function that creates an entire scenario
mleAllCompute all MLE's for a dataset
mleFullMaximum likelihood estimation - Full model
mleGetAllget all MLE's for dataset
mleLironLiron MLE
mleOneKnownMle with one known parameter
mleTwoKnownMle with two known parameters
negLogLik(negative) mean log-likelihood for the sinusoidal arrivals...
negLogLik.vecWrapper for negLogLik to use with optim
nextArrivalCosineNext Arrival of inhomogeneous Poisson process
oneKnownGradTitle f
oneKnownLikFunction factory for partial likelihoods
pipePipe
pltArrivalsByTimeSegmentPlot the queue dynamics in a specified time interval
pltQueueIntervalPlot the queue dynamics in a specified time interval
pltRatePlot the rate function
rateFactoryRate function factory
RES2AWXUtility: turn RES to AWX
resSimAWXSimulation of big sample sizes, by parts
resSimCosineAtomic Simulation for periodic arrivals (cosine model)
resSimCosineContinueSimulate results, possibly from given initial state
scenarioParamsparameters by simulation scenario
twoKnownLikFunction factory for partial likelihoods
VWLiron's Virtual Waiting function
blebedenko/impatience2 documentation built on April 10, 2022, 11:01 a.m.