Dear useRs: Release 2.0.0 of the randomSurvivalForest package is now available. --------------------------------------------------------------------------------- CHANGES TO RELEASE 2.0.0 Release 2.0.0 represents a major upgrade in the functionality and stability of the original 1.0.0 release. Key changes are as follows: o Two new splitting rules, 'logrankscore' and 'logrankapprox', added. o Expanded output from 'rsf()'. Now out-of-bag objects 'oob.ensemble' and 'oob.mortality' are included in addition to the full ensemble objects 'ensemble' and 'mortality'. o Importance values for predictors can now be calculated (set 'importace = TRUE' in the initial 'rsf()' call). Extended 'plot.error()' to print, as well as plot, such values. o Prediction on test data can now be implemented using 'rsf.predict()' (set 'forest = TRUE' in the initial 'rsf()' call). o Included option 'predictorWt' used for weighted sampling of predictors when growing a tree. o Formula no longer restricted to main effects. Formula for 'rsf' interpreted as in typical R applications. However, users should be aware that including interactions or higher order terms in a formula may not be an optimal way to grow a forest. o Three types of objects are generated in an RSF analysis: '(rsf, grow)', '(rsf, predict)' and '(rsf, forest)'. Wrappers handle each type of object in different ways. o Improved error checking in all wrappers. o Extended 'plot.variable()' wrapper to generate partial plots for predictors. o Improved control over trace output. See the 'do.trace' option in 'rsf()'. o Implements the Predictive Model Markup Language specification for an '(rsf, forest)' forest object. PMML is an XML based language which provides a way for applications to define statistical and data mining models and to share models between PMML compliant applications. More information about PMML and the Data Mining Group can be found at http://www.dmg.org. Our implementation gives the user the ability to save the geometry of a forest as a PMML XML document for export or later retrieval. --------------------------------------------------------------------------------- ubk2101 at columbia.edu Udaya B. Kogalur, Ph.D. Kogalur Shear Corporation 5425 Nestleway Drive, Suite L1 Clemmons, NC 27012 _______________________________________________ R-packages mailing list R-packages at stat.math.ethz.ch https://stat.ethz.ch/mailman/listinfo/r-packages