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 |
| macOS binaries: | r-release: LDOD_1.0.tgz, r-oldrel: LDOD_1.0.tgz |
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