Man pages for STAR
Spike Train Analysis with R

acf.spikeTrainAuto- Covariance and -Correlation Function Estimation for...
as.repeatedTrainCoerce and Test repeatedTrain Objects
as.spikeTrainCoerce, Test and Extract from spikeTrain Objects
brt4dfGet Backward Recurrence Times from Data Frames Generated by...
changeScaleChange the Scales of a quickPredict Object for an Interaction...
cockroachALDataSpike Trains of several Cockroach Antennal Lobe Neurons...
coef.durationFitUtility Functions for durationFit Objects
compModelsCompare Duration Models on a Specific Data Set
crossGeneralComputations of Boundary Crossing Probabilities for the...
df4countsGenerates a Data Frame from a repeatedTrain Object After Time...
diff.spikeTraindiff method for spikeTrain objects
dinvgaussThe Inverse Gaussian Distribution
dllogisThe Log Logistic Distribution
drexpThe Refractory Exponential Distribution
frtComputes Forward Recurrence Times from Two transformedTrain...
gamlockedTrainFunction to Smooth a lockedTrain Object and Related Methods:...
gammaMLEMaximum Likelihood Parameter Estimation of a Gamma Model with...
gamObjGeneric Function and Methods for Extracting a gamObject
gampsthSmooth Peri Stimulus Time Histogram Related Functions and...
gsslockedTrainFunction to Smooth a lockedTrain Object and Related Methods:...
gssObjGeneric Function and Methods for Extracting a gss object
gsspsthSmooth Peri Stimulus Time Histogram Related Functions and...
hgammaHazard Functions for Some Common Duration Distributions
hist.lockedTrainAuto- and Cross-Intensity Function Estimate for Spike Trains
invgaussMLEMaximum Likelihood Parameter Estimation of an Inverse...
isiGet Lagged Inter Spike Intervals (ISIs) From Data Frames...
isiHistFitISI Histogram With Fitted Model and CI
jpsthRelated Functions and Methods for Joint-PSTHs and Joint...
llogisMLEMaximum Likelihood Parameter Estimation of a Log Logistic...
lnormMLEMaximum Likelihood Parameter Estimation of a Log Normal Model...
lockedTrainConstruct and Plot Time-Dependent Cross-correlation Diagram
mkARGenerate a Data Frame With Variables Suitable For an AR Like...
mkCPSPCounting Process Sample Paths
mkDummyGenerates a Data Frame of Dummy Variables for Use in gam
mkGLMdfFormats (lists of) spikeTrain and repeatedTrain Objects into...
mkM2UMakes a Smooth Function Mapping a Data Frame Variable Onto a...
mkREdfEvaluates RateEvolutions for spikeTrain Lists and Returns...
plot.frtPlots and Summarizes frt Objects.
plot.quickPredictGraphical Methods for quickPredict Objects
plot.spikeTrainDisplay Counting Process Associated with Single Spike Train
plot.ssanovaA Plot Method for ssanova and ssanvoa0 Objects Tailored to...
plot.transformedTrainPlot Diagnostics for an transformedTrain Object
predictLogProbCompute the Log Probability of a "New" Data Set Using a...
print.repeatedTrainPrint and Summary Methods for repeatedTrain Objects
print.spikeTrainPrint and Summary Methods for spikeTrain Objects
psthCompute and Plot Peri-Stimulus Time Histogram
purkinjeCellDataSpike Trains of a Purkinje Cells (PC) Recorded in Control...
qqDurationQuantile-Quantile Plot For Fitted Duration Distributions
quickPredictA Simple Interface to predict method for ssanova and ssanova0...
rasterGenerate a Raster Plot
rateEvolutionEvaluates and Plots a Spike Train Firing Rate's Evolution
renewalTestPlotNon-Parametric Tests for Renewal Processes
reportHTMLGeneric Function for Automatic HTML Report Generation
reportHTML.gamGenerates a Report in HTML Format from a STAR gam Object
reportHTML.repeatedTrainPerforms Basic Spike Train Analysis and Generates a Report in...
reportHTML.spikeTrainPerforms Basic Spike Train Analysis and Generates a Report in...
rexpMLEMaximum Likelihood Parameter Estimation of a Refractory...
ShallowShocksShallow Shocks (M >= 6.0) in OFF Tohoku Area for 1885-1980
STAR-packageSpike Train Analysis with R
summary.CountingProcessSamplePathCreate and Explore Counting Process Sample Path Summaries
summary.transformedTrainSummary of transformedTrain Objects
thinProcessSimulate and Analyse Data From a Model Fitted With gss
transformedTrainPerforms Time Transformation of Spike Trains Fitted with glm...
ttTime Transformation Using a gssanova Objet
varianceTimeVariance-Time Analysis for Spike Trains
weibullMLEMaximum Likelihood Parameter Estimation of a Weibull Model...
STAR documentation built on May 30, 2017, 3:06 a.m.