Calculate the loglikelihood of the general linear or conjunctive classifier model applied to a data set.
1 2 3 4 5 
object 
object of class 
response 
a vector of classification responses used to calculate the loglikelihood of the model. 
x 
a matrix or dataframe containing values for each stimulus dimensions. 
zlimit 
integer. Used to truncate the zscores whose absolute values are greater than 
... 
further arguments (currently unused) 
The loglikelihood for the general linear or conjunctive classifier described by object
fitted against the dataset given by response
and x
.
The value of attributes, attr(, "df")
(degrees of freedom) is calculated based on the assumption that all the parameters in object
are free to vary.
gqc
,
gqcStruct
,
logLik.glc
,
logLik.gcjc
1 2 3 4 5  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)

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