Imports: lmerTest, emmeans, pbkrtest, lattice, nlme, ggplot2

of the analysis of designed experiments are discussed

A range of statistical methods using a range
of R statistical packages are  exemplified . The experimental

person(c("Rodney Edmondson"),  email = "rodney.edmondson@gmail.com", role = c("aut", "cre"))
, person(c("Hans-Peter",  "Piepho"),  email = "piepho@uni-hohenheim.de", role = c("aut", "ctb"))
, person(c("Muhammad",  "Yaseen"),  email = "myaseen208@gmail.com ", role = c("aut", "ctb"))

Package: agricolae
Type: Package
Title: Statistical Procedures for Agricultural Research
Version: 1.0-1
Date: 2007-01-25
Author: Felipe de Mendiburu
Maintainer: Felipe de Mendiburu <f.mendiburu@cgiar.org>
Suggests: cluster, akima, SuppDists, klaR
Depends: R
Description: These functions are currently utilized by the International Potato Center
Research (CIP), the Statistics and Informatics Instructors and the Students of the
Universidad Nacional Agraria La Molina Peru, and the Specialized Master in
"Bosques y Gesti�n de Recursos Forestales" (Forest Resource Management). This package
contains functionality for the statistical analysis of experimental designs applied
specially for field experiments in  agriculture and plant breeding. Planning of field
experiments: Lattice, factorial, RCBD, CRD, Latin Square, Greaco, BIB, Alpha design.
Comparison of multi-location trials: AMMI (biplot and triplot), Stability. Comparison
between treatments: LSD, HSD, Waller, Kruskal, Friedman, Durbin, Van Der Waerden.
Resampling and simulation: resampling.model, simulation.model, Ecology: Indices
Biodiversity, path analysis, Uniformity Soil: Index Smith's.
License: This software may be re-distributed freely and used for any non-commercial purpose under the GPL license.
URL: http://tarwi.lamolina.edu.pe/~fmendiburu; http://research.cip.cgiar.org/cipstat/
Packaged: Thu Jan 25 14:10:12 2007; FDEMENDIBURU

Package: agricolae
Type: Package
Title: Statistical Procedures for Agricultural Research
Version: 1.0-2
Date: 2007-02-06
Author: Felipe de Mendiburu
Maintainer: Felipe de Mendiburu <f.mendiburu@cgiar.org>
Suggests: cluster, akima, SuppDists, klaR
Depends: R
Description: These functions are currently utilized by the International Potato Center
Research (CIP), the Statistics and Informatics Instructors and the Students of the
Universidad Nacional Agraria La Molina Peru, and the Specialized Master in
"Bosques y Gesti�n de Recursos Forestales" (Forest Resource Management). This package
contains functionality for the statistical analysis of experimental designs applied
specially for field experiments in  agriculture and plant breeding. Planning of field
experiments: Lattice, factorial, RCBD, CRD, Latin Square, Greaco, BIB, Alpha design.
Comparison of multi-location trials: AMMI (biplot and triplot), Stability. Comparison
between treatments: LSD, HSD, Waller, Kruskal, Friedman, Durbin, Van Der Waerden.
Resampling and simulation: resampling.model, simulation.model, Ecology: Indices
Biodiversity, path analysis, Uniformity Soil: Index Smith's.
License: This software may be re-distributed freely and used for any non-commercial purpose under the GPL license.
URL: http://tarwi.lamolina.edu.pe/~fmendiburu
Packaged: Tue Feb  6 11:39:18 2007; FDEMENDIBURU