DESCRIPTION

Package: agricolae
Type: Package
Title: Statistical Procedures for Agricultural Research
Version: 1.5.0
Authors@R: 
    c(
        person(
          c("Felipe", "de" , "Mendiburu")
        , email = "fmendiburu@lamolina.edu.pe"
        , role = c("aut", "cre", "cph")
        , comment = c(ORCID = "0000-0003-2725-5911")
        )
     , person(
          c("Muhammad", "Yaseen")
        , email = "myaseen208@gmail.com"
        , role = c("aut", "ctb")
        , comment = c(ORCID = "0000-0002-5923-1714")
        )
    , person(
          c("Yuhang", "Guo")
        , email = "dev1271803144@163.com"
        , role = c("aut", "ctb")
        , comment = c(ORCID = "0000-0002-4078-2006")
        )
        )
Maintainer: Felipe de Mendiburu <fmendiburu@lamolina.edu.pe>
Description: Original idea was presented in the thesis "A statistical analysis tool for agricultural research" 
             to obtain the degree of Master on science, National Engineering University (UNI), Lima-Peru. 
             Some experimental data for the examples come from the CIP and others research. 
             Agricolae offers extensive functionality on experimental design especially for agricultural 
             and plant breeding experiments, which can also be useful for other purposes. 
             It supports planning of lattice, Alpha, Cyclic, Complete Block, Latin Square, Graeco-Latin Squares, 
             augmented block, factorial, split and strip plot designs. There are also various analysis facilities 
             for experimental data, e.g. treatment comparison procedures and several non-parametric tests comparison, 
             biodiversity indexes and consensus cluster.
Depends: R (>= 2.10)
License: GPL-2 | GPL-3
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 7.1.1
URL: https://github.com/myaseen208/agricolae
     https://CRAN.R-project.org/package=agricolae
     https://myaseen208.github.io/agricolae/
BugReports: https://github.com/myaseen208/agricolae/issues
Imports:
    AlgDesign,
    cluster, 
    graphics,
    klaR,
    MASS, 
    nlme,
    Rdpack
Suggests:
    bookdown,
    knitr,
    rmarkdown,
    testthat
RdMacros: Rdpack