Title: Evolutionary model-based multiresponse approach
Author: Laura Villanova <laura.villanova@monash.edu>, Kate Smith-Miles
<kate.smith-miles@monash.edu> and Rob J Hyndman
Depends: R (>= 2.9.2), earth, clusterSim
Description: The evolutionary model-based multiresponse approach (EMMA)
is a novel methodology to process optimisation and product
improvement. The approach is suitable to contexts in which the
experimental cost and/or time limit the number of implementable

Title: Read and Write to an EMME/2 databank
Description: This package includes functions to read and write

Packaged: Fri Aug  6 09:32:27 2004; hornik

Packaged: Mon Jun 13 09:26:46 2005; Ben Stabler

Packaged: Tue Dec 19 12:43:00 2006; Ben Stabler

Packaged: Fri May 25 08:35:13 2007; Ben Stabler

Packaged: Thu May 31 13:13:29 2007; Ben Stabler

Description: This package includes functions to read and write to an

Depends: R (>= 1.6.0), graphics, reshape

Title: Estimated Marginal Means, aka Least-Squares Means
Authors@R: c(person("Russell", "Lenth", role = c("aut", "cre", "cph"),
person("Jonathon", "Love", role = "ctb"),
person("Maxime", "Herve", role = "ctb"))
Imports: estimability, ggplot2, graphics, methods, stats, utils, nlme,
coda (>= 0.17), multcomp, plyr, mvtnorm, xtable (>= 1.8-2)
Suggests: bayesplot, car, lattice, mediation, multcompView, ordinal,
pbkrtest (>= 0.4-1), lme4, lmerTest (>= 2.0.32), MASS, rsm,
Enhances: CARBayes, coxme, gee, geepack, glmmADMB, MCMCglmm, MCMCpack,
Description: Obtain estimated marginal means (EMMs) for many linear, generalized
linear, and mixed models. Compute contrasts or linear functions of EMMs,
trends, and comparisons of slopes. Plots and compact letter displays.
Least-squares means are discussed, and the term "estimated marginal means"
is suggested, in Searle, Speed, and Milliken (1980) Population marginal means
in the linear model: An alternative to least squares means, The American

Imports: estimability (>= 1.3), ggplot2, graphics, methods, stats,
utils, nlme, coda (>= 0.17), multcomp, plyr, mvtnorm, xtable