Man pages for dpwynne/mmnst
Multiscale Modeling of Neural Spike Trains
| AdditiveLogLikelihood | Additive Model Log Likelihood |
| CtIndividualPoint | c(t) at Individual Points |
| EstimatePhase | Estimate initial phases of the periodic function nu |
| EstimateThetaT | Estimate the intensity function theta(t) |
| FindCt | Find c(t) |
| FindTopFrequencies | Find highest-amplitude frequencies |
| FitAdditiveModel | Fit additive model |
| FitAllMultAddModels | Fit all multiplicative and additive models |
| FitMultiplicativeModel | Fit multiplicative model |
| FitNonperiodicModel | Fit nonperiodic model |
| FrequencyScreePlot | Scree plot-like graph of most common frequencies |
| GenerateModelNames | Generate model names |
| GOFPlot | Goodness of fit pp-plot |
| IdentifyTerminalPoints | Identify terminal points |
| IntensityFunctionPlot | Plot intensity function |
| ISIPlot | Inter-spike interval plot |
| MultiplicativeLogLikelihood | Multiplicative Model Log Likelihood |
| MultiscaleModelSelection | Model selection for fitted multiscale models |
| PoissonRDP | Poisson Recursive Dyadic Partitioning |
| RasterPlot | Raster plot |
| RDPCrossValidation | Recursive dyadic partitioning cross-validation |
| SelectTopFrequencies | Select top frequencies |
| SetupLikelihoods | Setup likelihood function |
| SmoothedPeriodogram | Smoothed periodogram |
| SpikeSimulation | Spike train simulation |
| ThetaAdditive | Additive intensity function theta(t) |
| ThetaMultiplicative | Multiplicative intensity function theta(t) |
