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rodd
View on CRAN: Click
here
Download and install rodd package within the R console
Install from CRAN:
install.packages("rodd")
Install from Github:
library("remotes")
install_github("cran/rodd")
Install by package version:
library("remotes")
install_version("rodd", "0.2-1")
Attach the package and use:
library("rodd")
Maintained by
Roman Guchenko
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-12-14
Latest Update: 2016-01-12
Description:
A collection of functions for numerical construction of optimal discriminating designs. At the current moment T-optimal designs (which maximize the lower bound for the power of F-test for regression model discrimination), KL-optimal designs (for lognormal errors) and their robust analogues can be calculated with the package.
How to cite:
Roman Guchenko (2014). rodd: Optimal Discriminating Designs. R package version 0.2-1, https://cran.r-project.org/web/packages/rodd. Accessed 09 Apr. 2025.
Previous versions and publish date:
0.1-1 (2014-12-14 01:05)
Other packages that cited rodd R package
View rodd citation profile
Other R packages that rodd depends,
imports, suggests or enhances
Complete documentation for rodd
Functions, R codes and Examples using
the rodd R package
Some associated functions: KLopt.lnorm . plot.KLopt.lnorm . plot.tpopt . print.KLopt.lnorm . print.tpopt . rodd-package . summary.KLopt.lnorm . summary.tpopt . tpopt .
Some associated R codes: KLD.R . KLD.new.R . KLopt.lnorm.R . KLp.R . Tfs.R . Tp.R . evaluate.local.maximums.R . evaluate.local.maximums.lnorm.R . evaluate.weights.1.R . evaluate.weights.1.lnorm.R . evaluate.weights.2.R . evaluate.weights.2.lnorm.R . g.R . klopt.lnorm.main.R . mu.R . num.deriv.R . plot.KLopt.lnorm.R . plot.tpopt.R . print.KLopt.lnorm.R . print.tpopt.R . psi.R . psi.lnorm.R . psi.lnorm.new.R . psi.lnorm_1.R . psi_1.R . second.order.num.deriv.R . summary.KLopt.lnorm.R . summary.tpopt.R . topt.R . tpopt.R . w_.R . Full rodd package functions and examples
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