Predict the posterior probability of analogue-ness between fossil and training set samples based on logistic regression fits.
# S3 method for logitreg
predict(object, newdata, group = "all", k = 1, ...)an object of class "logitreg", resulting from a
call to logitreg.
an object of class "distance" representing the
dissimilarity between fossil samples and those from the training
set.
character; for which group(s) are predictions
sought. "all", the default, indicates that predictions for
all groups and the combined analysis are produced. Currently
ignored.
numeric; the number of close modern analogues to each fossil
sample to consider. Not currently used and may be removed from the
method as varying k should require refitting the logistic
regression model with that number of close modern analogues
considered.
additional arguments passed to other methods.
A matrix of posterior probabilities of analogue-ness is returned. The rows represent the fossil samples and the columns the groupings. There are \(g+1\) columns where \(g\) is the number of groups. The \(g+1\)th column represents the Combined analysis which is the overall posterior probability that a fossil sample is an analogue to a training set sample (i.e. to any one of the groups).
See logitreg for example usage. cma for
extraction of close modern analogue information and
analog for the underlying computations.