Classifying High-Dimensional Phenotypes with Ensemble Learning

Documentation for package ‘pheble’ version 0.1.0

Global variables.	Global variables.
ph_anomaly	Detect anomalies.
ph_crocs	Data from: The utility of cranial ontogeny for phylogenetic inference: a case study in crocodylians using geometric morphometrics
ph_ctrl	Parameters for resampling and training a dataset.
ph_ensemble	Classify phenotypes via ensemble learning.
ph_equate	Equate factors levels.
ph_eval	Evaluate a phenotype classification model.
ph_iqr	Compute interquartile range.
ph_outs	Find outlier indices.
ph_prep	Preprocessing for phenotype classification via ensemble learning.
ph_stickleback	Data from: Sexually mediated phenotypic variation within and between sexes as a continuum structured by ecology: The mosaic nature of skeletal variation across body regions in Threespine stickleback (Gasterosteus aculeatus L.)
ph_train	Generate predictions for phenotype ensemble.