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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.
Getting started
Browse package contents
Package details |
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| Author | Ehsan Masoudi, Majid Sarmad and Hooshang Talebi |
| Maintainer | Ehsan Masoudi <esn_mud@yahoo.com> |
| License | GPL (>= 2) |
| Version | 1.0 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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