Description Usage Arguments Value Author(s) References See Also
This function gives a value of alpha which guarantees monotone decrease of the objective function in "obliclus".
1 | alpha.optim(A, T, G, cluster, info, maxit = 1000)
|
A |
The loading matrix for rotation. |
T |
The current value of rotation matrix. |
G |
The gradient of the objective function at |
cluster |
The vector of cluster parameters which indicate a cluster where each variable is assigned. |
info |
The list including an initial value of alpha. |
maxit |
The limit of the iteration of partial step modification for the value of alpha. |
The value of alpha which is calculated by the partial step modification described in Jennrich (2002).
Michio Yamamoto
michio.koko@gmail.com
Jennrich, R.I. (2012). A simple general method for oblique rotation. Psychometrika, 67, 7-20.
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