This package contains functions for creating designs for mixture experiments, making ternary contour plots, and making mixture effect plots.
The osDesign serves for planning an observational study. Currently, functionality is focused on the two-phase and case-control designs. Functions in this packages provides Monte Carlo based evaluation of operating characteristics such as powers for estimators of the components of a logistic regression model.
The support.CEs package provides seven basic functions that support an implementation of choice experiments.
Simulation functions to assess the optimal design and performance of random intercept and slope models (i.e. mixed models), which can be used to a priori determine adequate sampling designs for e.g. reaction norm studies. Functions allow users to vary the sampling design in terms of number of grouping units sampled (e.g. individuals, schools, populations, etc.) and replicates per grouping unit (unbalanced as well balanced datasets) and also allow users to vary the parameter conditions used to generate the data. Subsequently, the performance of mixed models (based on lme4 package) fitted on these datasets is assessed in terms of the accuracy and the precision of estimates of fixed and random parameter, as well as the statistical power.
This package calls a modification of the published FORTRAN code for producing variance dispersion graphs. For more details on variance dispersion graphs see "A Computer Program for Generating Variance Dispersion Graphs" by G. Vining, Journal of Quality Technology, Vol. 25 No. 1 January 1993.
The target equivalence range (TEQR) design, previously named the toxicity equivalence range design is an up-down design patterned after the modified toxicity probability interval design.The TEQR design extends the well known 3+3 design to allow for: an explicit target range for the dose limiting toxicity (DLT) rate, more subjects at the maximum tolerated dose (MTD), and specification of a too-toxic rate, which closes a dose level, In addition, the TEQR design can be implemented to target a dose based either on toxicity rate or activity rate constrained for toxicity.
mxkssd is a package that generates efficient balanced mixed-level k-circulant supersaturated designs by interchanging the elements of the generator vector. The package tries to generate a supersaturated design that has EfNOD efficiency more than user specified efficiency level (mef). The package also displays the progress of generation of an efficient mixed-level k-circulant design through a progress bar. The progress of 100 per cent means that one full round of interchange is completed. More than one full round (typically 4-5 rounds) of interchange may be required for larger designs.
View 2D/3D sections or contours of computer experiments designs, surrogates or test functions.
mkssd is a package that generates efficient balanced non-aliased multi-level k-circulant supersaturated designs by interchanging the elements of the generator vector. The package tries to generate a supersaturated design that has chisquare efficiency more than user specified efficiency level (mef). The package also displays the progress of generation of an efficient multi-level k-circulant design through a progress bar. The progress of 100% means that one full round of interchange is completed. More than one full round (typically 4-5 rounds) of interchange may be required for larger designs.
This package analyses complex ANOVA models with any combination of orthogonal/nested and fixed/random factors, as described by Underwood (1997). There are two restrictions: (i) data must be balanced; (ii) fixed nested factors are not allowed. Homogeneity of variances is checked using Cochran's C test and 'a posteriori' comparisons of means are done using Student-Newman-Keuls (SNK) procedure.