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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

Install

install.packages('STAR')

Version

0.3-7

License

GPL (>= 2)

Maintainer

Christophe Pouzat

Last Published

November 9th, 2012

Functions in STAR (0.3-7)

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