Qval 1.1.0

Added - Added the URL of the online manual to the DESCRIPTION field.
Added - A new Q-matrix validation method, the beta (β) method, has been added.
Added - Wald now includes the SSA search method and the item.level iteration level.
Added - Added a PVAF cut-off point for GDI predicted by logistic regression (Najera et al., 2019).
Changed - Some of the important code is rewritten in C++ to accelerate the Q-matrix validation.
Fixed - Resolved the issue occurring when iter.level = 'item'.

Qval 1.0.0

Added - Provided a more comprehensive manual description for the validation function.
Added - Provided a more comprehensive manual description for the sim.Q function.
Added - Added a function get.Rmatrix for calculating the restriction matrix.
Added - Added a function get.priority for calculating the priority of attribute.
Added - Added a flexible function Wald.test for calculating the Wald test.
Added - Added SSA search for the Hull method.
Added - Added the plotting function plot.Hull for the Hull plot.
Changed - Rewrote the Wald method with the following updates: 1. If the search method is stepwise or forward, it will call the Qval function from the GDINA package. 2. If the search method is PAA, the search will follow the PAA. 3. The information matrix used is the full information matrix, implemented by the internal function inverse_crossprod from the GDINA package.
Changed - Renamed the functions getQRR, getVRR, getTPR, getTNR, getUSR, and getOSR to zQRR, zVRR, zTPR, zTNR, zUSR, and zOSR, respectively.