LDOD: Finding Locally D-optimal optimal designs for some nonlinear and
generalized linear models
this package provides functions for Finding Locally
D-optimal designs for Logistic, Negative Binomial, Poisson,
Michaelis-Menten, Exponential, Log-Linear, Emax, Richards,
Weibull and Inverse Quadratic regression models and also
functions for auto-constructing Fisher information matrix and
Frechet derivative based on some input variables and without
user-interfere.
| Version: |
1.0 |
| Depends: |
R (≥ 2.10.0), Rsolnp, Rmpfr |
| Published: |
2013-03-07 |
| Author: |
Ehsan Masoudi, Majid Sarmad and Hooshang Talebi |
| Maintainer: |
Ehsan Masoudi <esn_mud at yahoo.com> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
no |
| In views: |
ExperimentalDesign |
| CRAN checks: |
LDOD results |
Documentation:
Downloads:
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