Train a proportional odd model for ordinal regression

train data must be the training data without labels. Labels should be provided in trainLabels.

pomfit(train, trainLabels, linkfunction = "logistic")

Arguments

train	Training data of numeric type without labels.
trainLabels	Tags for each instance of training data. Must be factors.
linkfunction	link function to be used in the ordinal logistic regression fit. Possible functions are: logistic','probit','loglog','cloglog' or 'cauchit'.

Value

the fitted model.

Examples

dattrain<-read.table("train_balance-scale.0", sep=" ")
#> Warning: cannot open file 'train_balance-scale.0': No such file or directory
#> Error in file(file, "rt"): cannot open the connection
fit<-pomfit(dattrain[,-ncol(dattrain)],as.factor(dattrain[,ncol(dattrain)]),"logistic")
#> Error in is.factor(x): object 'dattrain' not found