* Version 1.2.3 <2013-11-02 Sat>
  - 'subset' argument added to estimate.default. Calculates empirical
    averages conditional on subsets of data
  - Improved output from compare/estimate functions
  - Minor bug fixes (plot, predict)
  - sim: Piecewise constant rates with coxEponential.lvm. New
    aalenExponential.lvm function for additive models. Functions
    ones.lvm and sequence.lvm for deterministic variables.

* Version 1.2.2 <2013-07-10 Wed>
  - Regression parameters are now by default referenced using '~',
    e.g. "y~x" instead of "y<-x". Applies to setting starting values
    in 'estimate', parameters in 'sim','compare','estimate',....
    To use the old syntax set 'lava.options(symbol=c("<-","<->"))'
  - Newton-Raphson/scoring procedure updated
  - Search-interval for profile likelihood CI improved (for variance
    parameters)
  - 'estimate.default' updated (LRT)
  - 'iid' updated (variance now obtained as tensor product of the result)
  - progress bar for 'bootstrap' and 'modelsearch'
  - various minor bug fixes
  - new functions: Expand (expand.grid wrapper), By (by wrapper)
  
* Version 1.2.1 <2013-05-10 Fri>
  - Optimization + minor bug fixes

* Version 1.2.0 <2013-03-28 Thu>
  - New method 'iid' for extracting i.i.d. decomposition (influence
    functions) from model objects (e.g. glm, lvm, ...)
  - Method 'estimate' can now be used on model objects to transform
    parameters (Delta method) or conduct Wald tests. Average effects,
    i.e. averaging functionals over the empirical distribution is also
    possible including calculation of standard errors.
  - 'curereg' function for estimating mixtures of binary data.
  - Instrumental Variable (IV) estimator (two-stage
    least-squares) optimized.
  - New distributions: Gamma.lvm, coxWeibull.lvm, coxExponential.lvm,
    coxGompertz.lvm. New method 'eventTime' (for simulation of
    competing risks data)
