coef.durationFit: Utility Functions for durationFit Objects

In STAR: Spike Train Analysis with R

Description

coef.durationFit and logLik.durationFit extract components of a durationFit object, while is.durationFit tests if its argument is such an object.

Usage

## S3 method for class 'durationFit'
coef(object,...)
## S3 method for class 'durationFit'
logLik(object,...)
is.durationFit(obj)

Arguments

object	a durationFit object.
obj	an object to be tested against a durationFit object.
...	see coef and logLik.

Details

Everything is trivial here.

Value

coef.durationFit returns the coefficients or the estimates or the fitted parameters of the object: a 2 elements named vector.

logLik.durationFit returns the loglikelihood value.

is.durationFit returns TRUE if its argument is a durationFit object and FALSE otherwise.

Author(s)

Christophe Pouzat [e-mail]

See Also

compModels, invgaussMLE, lnormMLE, llogisMLE, rexpMLE, gammaMLE, weibullMLE

Examples

## Not run: 
## load CAL1S data
data(CAL1S)
## convert the data into spikeTrain objects
CAL1S <- lapply(CAL1S,as.spikeTrain)
## look at the train of the 1sd neuron
CAL1S[["neuron 1"]]
## fit a invgauss model to the 1st neuron spike train
n1SDFig <- invgaussMLE(CAL1S[["neuron 1"]])
is.durationFit(n1SDFig)
coef(n1SDFig)
logLik(n1SDFig)

## End(Not run)

STAR documentation built on May 2, 2019, 11:44 a.m.