Bugfixes
New features
prior_sum
to Bayesian learning models to set and control the sum constraints of the prior (hyper-)parameter, see ?bayes
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
predict.cm
changed the order or arguments such that the argument newdata
is at the second position to comply with predict.glm
methodsBugfixes
add_constraints()
in cognitivemodel
lego variantsolvers()
as depreciated with a warning, from now on use cm_solvers()
to show the optimization solvers.NEWS.md
file to track changes to the package.Add the following code to your website.
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