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cognitivemodels 0.0.12

Bugfixes

  • Fixed bug in fitting parameter with the cognitivemodels `+``functionality

cognitivemodels 0.0.10

  • Minor bugfixes

cognitivemodels 0.0.10

New features

  • Added an optional argument prior_sum to Bayesian learning models to set and control the sum constraints of the prior (hyper-)parameter, see ?bayes
  • Added a new model shift_c() that models a change point in time for shifting between two values or two predictions. See ?shift
  • cpt() now allows weighting = NA and value = NA as arguments, which leads to no probability weighting (treating probabilities as is) or no subjective value transformation (treating outcomes as is) in the model, respectively, see ?cpt

Potentially breaking

  • In predict.cm changed the order or arguments such that the argument newdata is at the second position to comply with predict.glm methods

Bugfixes

  • Fixed bugs in ROI optimization
  • Fixed bug in add_constraints() in cognitivemodel lego variant
  • Made dropping of choicerule error and warning easier to understand.
  • Declared solvers() as depreciated with a warning, from now on use cm_solvers() to show the optimization solvers.

cognitivemodels 0.0.9

  • Added a NEWS.md file to track changes to the package.