API for dpwynne/mmnst
Multiscale Modeling of Neural Spike Trains

Global functions
AdditiveLogLikelihood Man page Source code
BootstrappedTheta Source code
ComputeHessian Source code
Cpp_BinCount_sorted Source code
CtAllPoints Source code
CtIndividualPoint Man page Source code
EstimatePhase Man page Source code
EstimateThetaT Man page Source code
EvaluateModelFit Source code
FindCt Man page Source code
FindTopFrequencies Man page Source code
FitAdditiveModel Man page Source code
FitAllMultAddModels Man page Source code
FitMultiplicativeModel Man page Source code
FitNonperiodicModel Man page Source code
FrequencyScreePlot Man page Source code
GOFPlot Man page Source code
GenerateModelNames Man page Source code
HaslingerQ Source code
HaslingerYi Source code
ISIPlot Man page Source code
IdentifyTerminalPoints Man page Source code
IntensityFunctionPlot Man page Source code
LeaveOneOutDensityEstimate Source code
MultiplicativeLogLikelihood Man page Source code
MultiscaleModelSelection Man page Source code
ParameterFeasibilityCheck Source code
PoissonRDP Man page
RDPCrossValidation Man page
RasterPlot Man page Source code
SelectBestModelByIC Source code
SelectMostCommonBestModel Source code
SelectTopFrequencies Man page Source code
SetupLikelihoods Man page Source code
SmoothedPeriodogram Man page Source code
SpikeSimulation Man page Source code
ThetaAdditive Man page Source code
ThetaMultiplicative Man page Source code
ThetaT Source code
cpp_PoissonRDP Source code
fast_first_index_vec_ordered_x Source code
nu Source code
periodogram Source code
dpwynne/mmnst documentation built on Aug. 1, 2023, 8:08 a.m.