MST-class {caMST} | R Documentation |

An S4 method for multistage adaptive tests.

An S4 object of class 'MST'.

`function.call`

The original function call.

`final.theta.estimate`

Numeric vector of theta estimates calculated by the provided 'method'.

`eap.theta`

Numeric vector of theta estimates calculated by 'catR::eapEst'.

`final.theta.Baker`

Numeric vector of theta estimates calculated by the internal 'iterative.theta.estimate' function.

`final.theta.SEM`

Numeric vector of SEM estimates calculated by the internal 'iterative.theta.estimate' function.

`final.items.seen`

Character matrix of the final items seen by each individual.

`modules.seen`

Numeric matrix of the modules seen by each individual.

`final.responses`

Numeric matrix of the response patterns observed.

`transition.matrix`

Numeric matrix; the transition matrix entered into the function.

`n.stages`

Numeric; the number of stages specified.

`nc.list`

A list of the number correct scoring logic and method, if applicable. Defaults to 'NULL'.

`runtime`

A 'difftime' object of the total run time of the function.

[Package *caMST* version 0.1.4 Index]