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.

Install the latest version of this package by entering the following in R:
install.packages("LDOD")
AuthorEhsan Masoudi, Majid Sarmad and Hooshang Talebi
Date of publication2013-03-07 16:11:33
MaintainerEhsan Masoudi <esn_mud@yahoo.com>
LicenseGPL (>= 2)
Version1.0

View on CRAN

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.