2.0.1 o typo in plotCluster corrected: did not plot properly, when doses were not sorted beforehand 2.0 o isominmax within monotoneDirection changed, original code was replaced by pava from Iso package; such a change decresed computational time to 40% o robust option based on median polish was added to ORCME 1.2.1 o isominmax within monotoneDirection changed, so procedure works for zero variability within dose as well 1.2 o bug in clustering process was fixed (the performance of algorithm should slightly improve) 1.1 o the artificial data set was replaced by larger real data set, due to confidentiality just part of the original data set was used 1.0 o the library was changed significantly to correspond with the book: Modeling Dose-response Microarray Data in Early Drug Development Experiments With R 0.0-6 o fixed rownames (Tine Casneuf) 0.0-5 o check that dose is character of lenght one for ExpressionSet,character-method o added simple test for ExpressionSet,character-method 0.0-4 o removed IsoGene dependency o fixed isoClust S4 methods 0.0-3 o added esData (ExpressionSet) o made isoClust an S4 generic o added method ExpressionSet,character o added method matrix,factor 0.0-2 o added simulated data (doseData, geneData) o added example using simulated data o added tests directory with additional examples for other scenarios o added rudimentary vignette