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


Reference manual: LDOD.pdf
Package source: LDOD_1.0.tar.gz
Windows binaries: r-devel: LDOD_1.0.zip, r-release: LDOD_1.0.zip, r-oldrel: LDOD_1.0.zip
OS X El Capitan binaries: r-release: LDOD_1.0.tgz
OS X Mavericks binaries: r-oldrel: LDOD_1.0.tgz


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