Description Usage Arguments Value Author(s) References See Also
Utility function performing Newton-Raphson algorithm updates for penLik.EMNewton
1 2 3 4 |
f |
Objective function to be minimized |
starts |
A numeric vector of starting values |
gradient |
The gradient function of |
hessian |
The Hessian function of |
... |
Additional arguments to be passed to |
ridge0 |
A small ridge factor; obsolete. Current version uses |
tolerance |
A small numeric scalar giving the convergence criterion |
iter.max |
Maximum number of iterations |
halving.max |
Maximum number of step-halfing |
relative |
A logical scalar indicating if relative convergence should be checked. |
return.hessian |
A logical scalar indicating if the final Hessian matrix is returned. |
debugging |
A logical scalar indicating if the debuggging mode of the code should be run. |
A numeric vector of updated parameters, with attributes
|
The final evaluated objective function |
|
The final gradient vector |
|
The number of iterations |
|
The final Hessian matrix, only available if |
Long Qu rtistician@gmail.com
Long Qu, Dan Nettleton, Jack Dekkers (2012) A hierarchical semiparametric model for incorporating inter-gene relationship information for analysis of genomic data. Biometrics, 68(4):1168-1177
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.