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STAR (version 0.3-7)
Spike Train Analysis with R
Description
Functions to analyze neuronal spike trains from a single neuron or from several neurons recorded simultaneously.
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Version
Version
0.3-7
0.3-5
0.3-4
0.3-2
0.2-2
0.1-9
Install
install.packages('STAR')
Monthly Downloads
53
Version
0.3-7
License
GPL (>= 2)
Maintainer
Christophe Pouzat
Last Published
November 9th, 2012
Functions in STAR (0.3-7)
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gamlockedTrain
Function to Smooth a lockedTrain Object and Related Methods: The Penalized Regression Spline Approach
dinvgauss
The Inverse Gaussian Distribution
gamObj
Generic Function and Methods for Extracting a gamObject
coef.durationFit
Utility Functions for durationFit Objects
plot.frt
Plots and Summarizes frt Objects.
gampsth
Smooth Peri Stimulus Time Histogram Related Functions and Methods: The Penalized Regression Spline Approach
df4counts
Generates a Data Frame from a repeatedTrain Object After Time Binning
brt4df
Get Backward Recurrence Times from Data Frames Generated by mkGLMdf
gsslockedTrain
Function to Smooth a lockedTrain Object and Related Methods: The Smoothing Spline Approach
mkREdf
Evaluates RateEvolutions for spikeTrain Lists and Returns Data Frame
diff.spikeTrain
diff method for spikeTrain objects
cockroachAlData
Spike Trains of several Cockroach Antennal Lobe Neurons Recorded from Six Animals
hgamma
Hazard Functions for Some Common Duration Distributions
frt
Computes Forward Recurrence Times from Two transformedTrain Objects
dllogis
The Log Logistic Distribution
changeScale
Change the Scales of a quickPredict Object for an Interaction Term
isiHistFit
ISI Histogram With Fitted Model and CI
STAR-package
Spike Train Analysis with R
plot.quickPredict
Graphical Methods for quickPredict Objects
hist.lockedTrain
Auto- and Cross-Intensity Function Estimate for Spike Trains
psth
Compute and Plot Peri-Stimulus Time Histogram
as.spikeTrain
Coerce, Test and Extract from spikeTrain Objects
rexpMLE
Maximum Likelihood Parameter Estimation of a Refractory Exponential Model with Possibly Censored Data
jpsth
Related Functions and Methods for Joint-PSTHs and Joint Scatter Diagrams
ShallowShocks
Shallow Shocks (M >= 6.0) in OFF Tohoku Area for 1885-1980
gsspsth
Smooth Peri Stimulus Time Histogram Related Functions and Methods: The Smoothing Spline Approach
as.repeatedTrain
Coerce and Test repeatedTrain Objects
gammaMLE
Maximum Likelihood Parameter Estimation of a Gamma Model with Possibly Censored Data
acf.spikeTrain
Auto- Covariance and -Correlation Function Estimation for Spike Train ISIs
predictLogProb
Compute the Log Probability of a "New" Data Set Using a Fitted Model Prediction
mkM2U
Makes a Smooth Function Mapping a Data Frame Variable Onto a Variable Uniform on Its Definition Domain
rateEvolution
Evaluates and Plots a Spike Train Firing Rate's Evolution
renewalTestPlot
Non-Parametric Tests for Renewal Processes
lnormMLE
Maximum Likelihood Parameter Estimation of a Log Normal Model with Possibly Censored Data
llogisMLE
Maximum Likelihood Parameter Estimation of a Log Logistic Model with Possibly Censored Data
mkDummy
Generates a Data Frame of Dummy Variables for Use in gam
gssObj
Generic Function and Methods for Extracting a gss object
summary.transformedTrain
Summary of transformedTrain Objects
lockedTrain
Construct and Plot Time-Dependent Cross-correlation Diagram
reportHTML
Generic Function for Automatic HTML Report Generation
plot.transformedTrain
Plot Diagnostics for an transformedTrain Object
reportHTML.gam
Generates a Report in HTML Format from a STAR gam Object
%tt%
Time Transformation Using a gssanova Objet
thinProcess
Simulate and Analyse Data From a Model Fitted With gss
reportHTML.repeatedTrain
Performs Basic Spike Train Analysis and Generates a Report in HTML Format from a repeatedTrain Object
drexp
The Refractory Exponential Distribution
invgaussMLE
Maximum Likelihood Parameter Estimation of an Inverse Gaussian Model with Possibly Censored Data
plot.ssanova
A Plot Method for ssanova and ssanvoa0 Objects Tailored to Their Use in STAR
purkinjeCellData
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
crossGeneral
Computations of Boundary Crossing Probabilities for the Wiener Process
print.spikeTrain
Print and Summary Methods for spikeTrain Objects
quickPredict
A Simple Interface to predict method for ssanova and ssanova0 objects
raster
Generate a Raster Plot
mkGLMdf
Formats (lists of) spikeTrain and repeatedTrain Objects into Data Frame for use in glm, mgcv and gam
mkCPSP
Counting Process Sample Paths
mkAR
Generate a Data Frame With Variables Suitable For an AR Like Model
isi
Get Lagged Inter Spike Intervals (ISIs) From Data Frames Generated by mkGLMdf
varianceTime
Variance-Time Analysis for Spike Trains
reportHTML.spikeTrain
Performs Basic Spike Train Analysis and Generates a Report in HTML Format from a spikeTrain Object
plot.spikeTrain
Display Counting Process Associated with Single Spike Train
compModels
Compare Duration Models on a Specific Data Set
weibullMLE
Maximum Likelihood Parameter Estimation of a Weibull Model with Possibly Censored Data
qqDuration
Quantile-Quantile Plot For Fitted Duration Distributions
print.repeatedTrain
Print and Summary Methods for repeatedTrain Objects
transformedTrain
Performs Time Transformation of Spike Trains Fitted with glm or gam