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MLR-B accepts alpha.level.fit.fit class, which provides comprehensive
S3 methods.etract.etract is compatible with the
etract function in the GDINA package.i = 1 for the Hull
plot.get.beta, get.priority, get.PVAF,
and get.R2.summary method has been added for the
CDM, simData, and validation
classes.plot method has been added for the
CDM and simData classes.updata method has been added for the
CDM, simData, and validation
classes.Wald.Beta,
Priority, PVAF, and R2 to be
consistent with the original Q matrix.method = 'beta'.eps = 'logit'.CDM, simData and validation
classes defined in the package to offer better interaction for
users.validation function has been
changed when not using the iterative process.method = 'Wald'.method = 'beta'.GDI, Hull, and beta.DESCRIPTION field.beta (β)
method, has been added.Wald now includes the SSA search
method and the item.level iteration level.GDI predicted by
logistic regression (Najera et al., 2019).iter.level = 'item'.validation function.sim.Q function.get.Rmatrix for calculating
the restriction matrix.get.priority for calculating
the priority of attribute.Wald.test for
calculating the Wald test.SSA search for the Hull
method.plot.Hull for the
Hull plot.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.getQRR,
getVRR, getTPR, getTNR,
getUSR, and getOSR to zQRR,
zVRR, zTPR, zTNR,
zUSR, and zOSR, respectively.validation function.validation function.validation function.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.