Last data update: 2014.03.03


Package: LDOD
Type: Package
Title: Finding Locally D-optimal optimal designs for some nonlinear and
generalized linear models.
Version: 1.0
Date: 2013-02-25
Depends: R (>= 2.10.0), Rsolnp, Rmpfr
Author: Ehsan Masoudi, Majid Sarmad and Hooshang Talebi
Maintainer: Ehsan Masoudi <>
Description: 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
License: GPL (>= 2)
Repository: CRAN
Repository/R-Forge/Project: ldod
Repository/R-Forge/Revision: 26
Repository/R-Forge/DateTimeStamp: 2013-03-07 08:12:45
Date/Publication: 2013-03-07 16:11:33
Packaged: 2013-03-07 11:15:34 UTC; rforge
NeedsCompilation: no

35 images, 14 functions, 0 datasets
● Reverse Depends: 0

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'LDOD' ...
** package 'LDOD' successfully unpacked and MD5 sums checked
** R
** preparing package for lazy loading
** help
*** installing help indices
  converting help for package 'LDOD'
    finding HTML links ... done
    LDOD-package                            html  
    cfderiv                                 html  
    cfisher                                 html  
    eff                                     html  
    ldemax                                  html  
    ldexpdose                               html  
    ldiq                                    html  
    ldlogistic                              html  
    ldloglin                                html  
    ldmm                                    html  
    ldnbinom                                html  
    ldpoisson                               html  
    ldrichards                              html  
    ldweibull                               html  
** building package indices
** testing if installed package can be loaded
Making 'packages.html' ... done