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, ...)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).
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.
Gavin L. Simpson
See logitreg for example usage. cma for
extraction of close modern analogue information and
analog for the underlying computations.