ranger: A Fast Implementation of Random Forests
object Ranger ranger object. data New test data of class data.frame or gwaa.data (GenABEL). predict.all Return individual predictions for each tree instead of aggregated predictions for all trees. Return a matrix (sample x tree) for classification and regression, a 3d
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cran.r-project.org2 emma-package Index 21 emma-package Designing experiments for process optimization Description The evolutionary model-based multiresponse approach (EMMA) is a procedure for process opti-
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cran.r-project.orgPower" presentations in Appendix D of "The New Weibull Handbook, Fifth Edition". For validity of a 3rd parameter optimization on a given model over its 2 parameter fit, only the Likelihood Ratio Test will be applied. This validity check requires an LRT-P greater than 50 Value
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