sperrorest 2.1.1 (15-Oct-2017)

Bugfixes:

• train_fun and test_fun are now handled correctly and eventual sub-sampling is correctly reflected to the resulting 'resampling' object

sperrorest 2.1.0 (26 Sep 2017)

Features:

• error handling during model fitting & performance evaluation: If a model does not converge for some folds or an error occurs during performance calculation, results of this fold are set to NA and a message is printed to the console. sperrorest() will continue normally and uses the successful folds to calculate the repetition error. This helps to run CV with many repetitions using models which do not always converge like maxnet(), gamm() or svm().

Bugfixes:

• Size of example data set ecuador has been adjusted to avoid exact duplicates of partitions when using partition_kmeans().