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Open AccessJournal ArticleDOI

Mixture Experiments in R Using mixexp

John Lawson, +1 more
- 16 Aug 2016 - 
- Vol. 72, Iss: 1, pp 1-20
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TLDR
Mixexp as discussed by the authors provides functions for creating mixture designs composed of extreme vertices and edge and face centroids in constrained mixture regions where components are subject to upper, lower and linear constraints.
Abstract
This article discusses the design and analysis of mixture experiments with R and illustrates the use of the recent package mixexp. This package provides functions for creating mixture designs composed of extreme vertices and edge and face centroids in constrained mixture regions where components are subject to upper, lower and linear constraints. These designs cannot be created by other R packages. mixexp also provides functions for graphical display of models fit to data from mixture experiments that cannot be created with other R packages.

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Citations
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TL;DR: It is identified that an optimum dietary macronutrient balance of a low protein, medium carbohydrate and fat diet can ameliorate key PCOS reproductive traits, but PCOS mice display a hindered ability for their metabolic system to respond to diet variations, and varying macronUTrient balance did not have a beneficial effect on the development of metabolic PCOS traits.
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Voriconazole-loaded self-nanoemulsifying drug delivery system (SNEDDS) to improve transcorneal permeability.

TL;DR: Self- nanoemulsifying drug delivery system SNEDDS is a promising carrier for voriconazole ocular delivery and exhibited a significant improvement in apparent permeability coefficient when compared to commercialized formulation.
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Trade-offs between ecosystem services along gradients of tree species diversity and values

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References
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Journal Article

R: A language and environment for statistical computing.

R Core Team
- 01 Jan 2014 - 
TL;DR: Copyright (©) 1999–2012 R Foundation for Statistical Computing; permission is granted to make and distribute verbatim copies of this manual provided the copyright notice and permission notice are preserved on all copies.
Journal ArticleDOI

Fitting Linear Mixed-Effects Models Using lme4

TL;DR: In this article, a model is described in an lmer call by a formula, in this case including both fixed-and random-effects terms, and the formula and data together determine a numerical representation of the model from which the profiled deviance or the profeatured REML criterion can be evaluated as a function of some of model parameters.
Book

Response Surface Methodology: Process and Product Optimization Using Designed Experiments

TL;DR: Using a practical approach, this book discusses two-level factorial and fractional factorial designs, several aspects of empirical modeling with regression techniques, focusing on response surface methodology, mixture experiments and robust design techniques.
Journal ArticleDOI

Experiments with Mixtures

TL;DR: Experiments with Mixtures as discussed by the authors is a collection of experiments with mixtures written by J. A. Cornell and published by Wiley, Chichester, 1990. 632 pp.