OPDOE (version 1.0-10)

Optimal Design of Experiments

Description

Several function related to Experimental Design are implemented here, see "Optimal Experimental Design with R" by Rasch D. et. al (ISBN 9781439816974).

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Version

Install

install.packages('OPDOE')

Monthly Downloads

171

Version

1.0-10

License

GPL (>= 2)

Maintainer

Fortran code by R J Renka R functions by Albrecht Gebhardt With contributions from Stephen Eglen stephenancedacuk

Last Published

March 17th, 2018

Functions in OPDOE (1.0-10)

OPDOE-undocumented

(still) undocumented functions

print.design.regression

Prints a regression design object

print.triangular.test

Print method for Triangular Test Objects

design.regression

Regression Design Object

had

Stored Hadmard matrices

heights

male / female heights data

design.reg.polynom

Design for Polynomial Regression

size.anova

Design of Experiments for ANOVA

size_n.two_way

Design for Two-Way ANOVA

cattle

Cattle data

size_n.one_way.model_1

Design for One-Way ANOVA

triangular.test.prop

Triangular Test for Bernoulli Data

size_a.three_way

Three-way analysis of variance -- mixed classification \((A\times B)\succ C\) model III and VII

size_bc.three_way

Three-way analysis of variance -- cross classification (A in B) x C -- model IV, Three-way analysis of variance -- mixed classification (A in B) x C model VI

update.triangular.test

Print method for Triangular Test Objects

triangular.test.norm

Triangular Test for Normal Data

size_c.three_way

Three-way analysis of variance -- several cross-, nested and mixed classifications.

size_b.two_way

Design for Two-Way ANOVA

triangular.test

Triangular Test Object

size_n.three_way

Design for Three-Way ANOVA

size_b.three_way

Three-way analysis of variance -- nested and mixed classification \(A\succ B \succ C\) and \((A\times B)\succ C\) model III, IV and VII

hemp

Hemp data