grt (version 0.1-2)

logLik.glcStruct: Log-Likelihood of a 'glcStruct' Object

Description

Calculate the log-likelihood of the general linear classifier model applied to a data set.

Usage

## S3 method for class 'glcStruct':
logLik(object, response, x, zlimit = Inf, \dots)

Arguments

object

object of class glcStruct containing the parameter values at which the log-likelihood is to be evaluated.

response

a vector of classification responses used to calculate the log-likelihood of the model.

x

a matrix or dataframe containing values for each stimulus dimensions.

zlimit

integer. Used to truncate the z-scores whose absolute values are greater than zlimit when calculating the log-likelihood. Default to Inf

...

further arguments (currently unused)

Value

• The log-likelihood for the general linear classifier described by object fitted against the dataset given by response and x.

See Also

gqc, gqcStruct, logLik.glc

Examples

m <- list(c(187, 142), c(213, 98))
covs <- diag(625, ncol=2, nrow=2)
db <- ldb(means=m, covs=covs, noise=10)
data(subjdemo_2d)
logLik(db, subjdemo_2d$response, x=subjdemo_2d[2:3], zlimit=7)