Changes in 0.5-0

  * User-visible changes: MPT models are now specified via the new mptspec()
    function. Its return value serves as an input to mpt() which fits the
    model to data. It allows for more flexible parameter restrictions than the
    earlier mechanism. It includes all the default MPT models (plus new ones)
    that were formerly returned by the (now defunct) mptmodel() function. See
    ?mptspec and ?mpt for details.
  * coef.mpt, vcov.mpt, confint.mpt: new logical argument logit to switch
    between logit-scale and probability-scale representation
  * mpt: new argument method = c("BFGS", "EM") to select the fitting method
  * vcov.mpt: new argument what = c("vcov", "fisher") to return either the
    covariance matrix or the Fisher information
  * predict.mpt (new function): predicted response frequencies or
    probabilities for a given MPT model and optionally new data
  * valence (new data set): word valence and source memory for vertical
    position
  * DESCRIPTION (Date, Version): 0.5-0

Changes in 0.4-1

  * BUG FIX: typo in vcov.mpt(), hence wrong standard errors (reported by
    Rainer Alexandrowicz and Bartosz Gula)
  * recogROC (new data set): recognition memory data (Broeder & Schuetz, 2009)
  * nobs.mpt (new function): extracts number of free response categories
  * Add citation file: useR! 2011 talk
  * DESCRIPTION (Date, Version): 0.4-1

Changes in 0.4-0

  * simulate.mpt (new function): simulate responses from a fitted mpt model
  * mptmodel (new function): return formulae for some prevalent MPT models
  * mpt.R: mpt() function now takes dataframe or vector input
  * NAMESPACE: new file
  * DESCRIPTION (Date, Version): 0.4-0

Changes in 0.3-0

  * BUG FIX: two frequencies in the proact data set were incorrect
  * vcov.mpt (new function): covariance matrix of mpt model parameters
  * summary.mpt (new function): summary method for mpt objects
  * mpt.Rd (examples): update
  * proact.Rd (examples): update
  * DESCRIPTION (Date, Version): 0.3-0

Changes in 0.2-0

  * BUG FIX: df in logLik.mpt() was incorrect by one
  * residuals.mpt (new function): residuals for MPT models
  * plot.mpt (new function): plots MPT residuals against fitted values
  * proact (new data set): recall frequencies for DaPolito's experiment on
    proactive inhibition
  * mptEM: new stepsize argument
  * mpt.Rd (value): update
  * mptEM.Rd (usage, value): update
  * DESCRIPTION (Date, Version): 0.2-0

Changes in 0.1-0

  * initial release on CRAN

