Changes in 0.5-1
* mpt: the start argument expects starting values between zero and one
regardless of the fitting method
* mptspec("prospec"): return specification of event-based prospective memory
model (Smith & Bayen, 2004)
* prospecMemory, recogROC (new data sets): prospective memory data (Smith &
Bayen, 2004), recognition memory data (Broeder & Schuetz, 2009)
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
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
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
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
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
Changes in 0.1-0
* initial release on CRAN