2010-05-27 Bjoern Bornkamp
    * Made the getGrad function (gradient for dose-response model),
      including documentation available for end-user (was previously
      hidden in NAMESPACE)
    * Changes in the plot.MCPMod function (col argument for 
      panel.superpose was read in different order depending on
      lattice options, now there is a manual workaround with
      panel.xyplot calls for each group)


2010-05-20 Bjoern Bornkamp
    * Smaller changes in calcCrit functions (the parameter p is
      now calculated by the nPars function as in getOptDesign)
    * Add further options to powerScenario function (now possible
      to for user-specified row and column names for output matrix)


2010-05-13 Bjoern Bornkamp
    * Removed one example from sampSize to reduce check time.
    * modelSelect: Use first model when two models have exactly
      the same AIC or BIC value.
    * predict.DRMod: Return NA as standard deviation if code
      cannot calculate Cholesky transformation of covariance
      matrix (thanks to Setia Pramana for the hint).
    * calcCrit: Code now allows for specifying multiple designs
      in a matrix.
	
2010-04-14 Bjoern Bornkamp
    * fitModel.nls now checks whether nls with plinear option made
      a positive number of iterations (as additional convergence check).
      In some cases (eg. when number of parameters = number of 
      doses) plinear does not do any iteration and does *not* 
      put out a warning message that the algorithm failed.
    * The calcOptDesign function now allows for upper and lower bounds
      on the allocation weights.
    * There is no longer the need to specify clinRel, when one wants
      to calculate a D-optimal design.
    * Output of bootMCPMod function in case of model averaging now
      also includes dose estimates under each model & corrected
      bug in print.bootMCPMod function (thanks to Setia Pramana)

2010-03-08 Bjoern Bornkamp
    * 1st Release as version 0.1. Improvements over MCPMod package:
      - Extended and improved version of MCPMod (allowing for covariates
        and robustified self-developed optimizer)
      - Functions for MCP (MCPtest) and Modelling (fitDRModel) part
        now available to the user
      - New functions (eg. bootMCPMod, powerScenario)
      - Functions for calculating optimal designs
