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.


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("LDOD")

1.0 by Ehsan Masoudi, 8 years ago


Browse source code at https://github.com/cran/LDOD


Authors: Ehsan Masoudi , Majid Sarmad and Hooshang Talebi


Documentation:   PDF Manual  


Task views: Design of Experiments (DoE) & Analysis of Experimental Data


GPL (>= 2) license


Depends on Rsolnp, Rmpfr


See at CRAN