SAGA: Software for the Analysis of Genetic Architecture

Implements an information theory approach to the analysis of line cross data providing model averaged results of parameter estimates and unconditional standard errors. Also includes functions to provide a visualization of models space, custom plots of multi-model inference results, and traditional line cross analysis plots.

Install the latest version of this package by entering the following in R:
install.packages("SAGA")
AuthorHeath Blackmon and Jeffery P. Demuth
Date of publication2015-12-03 13:05:04
MaintainerHeath Blackmon <coleoguy@gmail.com>
LicenseGPL (>= 2)
Version2.0.0
https://github.com/coleoguy/SAGA

View on CRAN

Files

inst
inst/cmatrix.xy.csv
inst/doc
inst/doc/model-averaged-analysis.R
inst/doc/model-averaged-analysis.pdf
inst/doc/model-averaged-analysis.Rmd
inst/cmatrix.zw.csv
inst/genome.scale.csv
inst/cmatrix.esd.csv
NAMESPACE
data
data/SR.rda
data/PH.rda
data/ban.osa.rda
data/dar.bho.rda
data/per.inf.rda
data/sin.cro.rda
data/SL.rda
R
R/EvaluateModel.R R/plot.genarch.R R/VisModelSpace.R R/cohortID.R R/AnalyzeCrossesMM.R R/AICtoMW.R R/DisplayCmatrix.R R/plotObserved.R
vignettes
vignettes/model-averaged-analysis.Rmd
MD5
build
build/vignette.rds
DESCRIPTION
man
man/VisModelSpace.Rd man/AnalyzeCrossesMM.Rd man/cohortID.Rd man/plot.genarch.Rd man/DisplayCmatrix.Rd man/data.Rd man/EvaluateModel.Rd man/plotObserved.Rd man/AICtoMW.Rd man/SAGA-package.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.