genetic algorithm or Hooke-Jeeves optimizer to find the best
obtained through validation error, cross validation, or resubstitution.
The function eztune.cv will compute a cross validated error rate. The purpose
of eztune_cv is to provide a cross validated accuracy or MSE when
resubstitution or validation data are used for optimization because
error measures from both approaches can be misleading.
Imports: ada, e1071, GA, gbm, optimx, rpart
Suggests: knitr, rmarkdown, mlbench, doParallel, parallel

Title: Tunes AdaBoost, Elastic Net, Support Vector Machines, and
Imports: ada, e1071, GA, gbm, optimx, rpart, glmnet, ROCR

Imports: ada, e1071, GA, gbm, optimx, rpart, glmnet, ROCR, BiocStyle
Suggests: knitr, rmarkdown, mlbench, doParallel, parallel, dplyr,

Title: Multiple Locus Association Mapping on a Genome-Wide Scale
person("Andrew", "George", role=c("aut", "cre"), email="andrew.george@csiro.au"),
Description: An implementation of multiple-locus association mapping on a genome-wide scale. 'Eagle' can handle inbred or outbred study populations, populations of arbitrary unknown complexity, and data larger than the memory capacity of the computer. Since 'Eagle' is based on linear mixed models, it is best suited to the analysis of data on continuous traits. However, it can tolerate non-normal data. 'Eagle' reports, as its findings, the best set of snp in strongest association with a trait. To perform an analysis, run 'OpenGUI()'. This  opens a web browser to the menu-driven user interface for the input of data, and for performing genome-wide analysis.
Imports: matrixcalc, shiny, shinythemes, shinyBS, shinyjs, stats,

Description: An implementation of multiple-locus association mapping on a genome-wide scale. 'Eagle' can handle inbred and  outbred study populations, populations of arbitrary unknown complexity, and data larger than the memory capacity of the computer. Since 'Eagle' is based on linear mixed models, it is best suited to the analysis of data on continuous traits. However, it can tolerate non-normal data. 'Eagle' reports, as its findings, the best set of snp in strongest association with a trait. For users unfamiliar with R, to perform an analysis, run 'OpenGUI()'. This  opens a web browser to the menu-driven user interface for the input of data, and for performing genome-wide analysis.