%tt%                    Time Transformation Using a gssanova Objet
CAL1S                   Spike Trains of several Cockroach Antennal Lobe
                        Neurons Recorded from Six Animals
STAR-package            Spike Train Analysis with R
ShallowShocks           Shallow Shocks (M >= 6.0) in OFF Tohoku Area
                        for 1885-1980
acf.spikeTrain          Auto- Covariance and -Correlation Function
                        Estimation for Spike Train ISIs
as.repeatedTrain        Coerce and Test repeatedTrain Objects
as.spikeTrain           Coerce, Test and Extract from spikeTrain
                        Objects
brt4df                  Get Backward Recurrence Times from Data Frames
                        Generated by mkGLMdf
changeScale             Change the Scales of a quickPredict Object for
                        an Interaction Term
coef.durationFit        Utility Functions for durationFit Objects
compModels              Compare Duration Models on a Specific Data Set
crossGeneral            Computations of Boundary Crossing Probabilities
                        for the Wiener Process
df4counts               Generates a Data Frame from a repeatedTrain
                        Object After Time Binning
diff.spikeTrain         diff method for spikeTrain objects
dinvgauss               The Inverse Gaussian Distribution
dllogis                 The Log Logistic Distribution
drexp                   The Refractory Exponential Distribution
frt                     Computes Forward Recurrence Times from Two
                        transformedTrain Objects
gamObj                  Generic Function and Methods for Extracting a
                        gamObject
gamlockedTrain          Function to Smooth a lockedTrain Object and
                        Related Methods: The Penalized Regression
                        Spline Approach
gammaMLE                Maximum Likelihood Parameter Estimation of a
                        Gamma Model with Possibly Censored Data
gampsth                 Smooth Peri Stimulus Time Histogram Related
                        Functions and Methods: The Penalized Regression
                        Spline Approach
gssObj                  Generic Function and Methods for Extracting a
                        gss object
gsslockedTrain          Function to Smooth a lockedTrain Object and
                        Related Methods: The Smoothing Spline Approach
gsspsth                 Smooth Peri Stimulus Time Histogram Related
                        Functions and Methods: The Smoothing Spline
                        Approach
hgamma                  Hazard Functions for Some Common Duration
                        Distributions
hist.lockedTrain        Auto- and Cross-Intensity Function Estimate for
                        Spike Trains
invgaussMLE             Maximum Likelihood Parameter Estimation of an
                        Inverse Gaussian Model with Possibly Censored
                        Data
isi                     Get Lagged Inter Spike Intervals (ISIs) From
                        Data Frames Generated by mkGLMdf
isiHistFit              ISI Histogram With Fitted Model and CI
jpsth                   Related Functions and Methods for Joint-PSTHs
                        and Joint Scatter Diagrams
llogisMLE               Maximum Likelihood Parameter Estimation of a
                        Log Logistic Model with Possibly Censored Data
lnormMLE                Maximum Likelihood Parameter Estimation of a
                        Log Normal Model with Possibly Censored Data
lockedTrain             Construct and Plot Time-Dependent
                        Cross-correlation Diagram
mkAR                    Generate a Data Frame With Variables Suitable
                        For an AR Like Model
mkCPSP                  Counting Process Sample Paths
mkDummy                 Generates a Data Frame of Dummy Variables for
                        Use in gam
mkGLMdf                 Formats (lists of) spikeTrain and repeatedTrain
                        Objects into Data Frame for use in glm, mgcv
                        and gam
mkM2U                   Makes a Smooth Function Mapping a Data Frame
                        Variable Onto a Variable Uniform on Its
                        Definition Domain
mkREdf                  Evaluates RateEvolutions for spikeTrain Lists
                        and Returns Data Frame
plot.frt                Plots and Summarizes frt Objects.
plot.quickPredict       Graphical Methods for quickPredict Objects
plot.spikeTrain         Display Counting Process Associated with Single
                        Spike Train
plot.ssanova            A Plot Method for ssanova and ssanvoa0 Objects
                        Tailored to Their Use in STAR
plot.transformedTrain   Plot Diagnostics for an transformedTrain Object
predictLogProb          Compute the Log Probability of a "New" Data Set
                        Using a Fitted Model Prediction
print.repeatedTrain     Print and Summary Methods for repeatedTrain
                        Objects
print.spikeTrain        Print and Summary Methods for spikeTrain
                        Objects
psth                    Compute and Plot Peri-Stimulus Time Histogram
qqDuration              Quantile-Quantile Plot For Fitted Duration
                        Distributions
quickPredict            A Simple Interface to predict method for
                        ssanova and ssanova0 objects
raster                  Generate a Raster Plot
rateEvolution           Evaluates and Plots a Spike Train Firing Rate's
                        Evolution
renewalTestPlot         Non-Parametric Tests for Renewal Processes
reportHTML              Generic Function for Automatic HTML Report
                        Generation
reportHTML.gam          Generates a Report in HTML Format from a STAR
                        gam Object
reportHTML.repeatedTrain
                        Performs Basic Spike Train Analysis and
                        Generates a Report in HTML Format from a
                        repeatedTrain Object
reportHTML.spikeTrain   Performs Basic Spike Train Analysis and
                        Generates a Report in HTML Format from a
                        spikeTrain Object
rexpMLE                 Maximum Likelihood Parameter Estimation of a
                        Refractory Exponential Model with Possibly
                        Censored Data
sPK                     Spike Trains of a Purkinje Cells (PC) Recorded
                        in Control Conditions and With Bath Applied
                        Bicuculline
summary.CountingProcessSamplePath
                        Create and Explore Counting Process Sample Path
                        Summaries
summary.transformedTrain
                        Summary of transformedTrain Objects
thinProcess             Simulate and Analyse Data From a Model Fitted
                        With gss
transformedTrain        Performs Time Transformation of Spike Trains
                        Fitted with glm or gam
varianceTime            Variance-Time Analysis for Spike Trains
weibullMLE              Maximum Likelihood Parameter Estimation of a
                        Weibull Model with Possibly Censored Data
