CmmcMod-class: S4 class representing a model for categorical data
In singmann/cmmc: What the package does (short line)

Description Details Slots

This class is usually created by a call to make_model.

This class contains a objective, prediction, gradient, and hessian function of the model, a symbolic description of the model similar to the model equations, and some model info, such as parameter names and parameter bounds (upper and lower).

predict: "function" returning predictet proportion given parameter values.
objective: "function" returning the likelihood given parameter values.
gradient: "function" returning the analytical gradient given parameter values.
hessian: "function" returning the analytical hessian given parameter values.
model_environment: "environment" containing the model equations (likelihood, prediction, gradient, hessian), the parameters, and the data. Is used by all functions in this class.
bounds: "list" of length 4 containing upper and lower bounds of parameters and starting values.
model: "list" of length 2: "parameter" giving the name of the free parameters and "model_list" containing a list of models in which element is a "list" of "expression" corresponding to one item type.
parameters_show: "character" vector given the parameters of the model to be displayed.
model: "list" of restrictions.