metan

Multi Environment Trials Analysis

Performs stability analysis of multi-environment trial data using parametric and non-parametric methods. Parametric methods includes Additive Main Effects and Multiplicative Interaction (AMMI) analysis by Gauch (2013) <doi:10.2135/cropsci2013.04.0241>, Genotype plus Genotype-Environment (GGE) biplot analysis by Yan & Kang (2003) <doi:10.1201/9781420040371>, joint Regression Analysis by Eberhart & Russel (1966) (<doi:10.2135/cropsci1966.0011183X000600010011x>), ecovalence by Wricke (1965), genotypic confidence index by Annicchiarico (1992), Murakami & Cruz's (2004) method <doi:10.12702/1984-7033.v04n01a02>, stability variance by Shukla (1972) <doi:10.1038/hdy.1972.87>, weighted average of absolute scores by Olivoto et al. (2019a) <doi:10.2134/agronj2019.03.0220>, and multi-trait stability index by Olivoto et al. (2019b) <doi:10.2134/agronj2019.03.0221>. Non-parametric methods includes superiority index by Lin & Binns (1988) <doi:10.4141/cjps88-018>, nonparametric measures of phenotypic stability by Huehn (1990) <https://link.springer.com/article/10.1007/BF00024241>, TOP third statistic by Fox et al. (1990) <doi:10.1007/BF00040364>, geometric adaptability index described by Shahbazi (2019) <doi:10.1016/j.scienta.2019.04.047>. Functions for computing biometrical analysis such as path analysis, canonical correlation, partial correlation, clustering analysis, and tools for inspecting, manipulating, summarizing and plotting typical multi-environment trial data are also provided.

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Description file content

Type
Package
Package
metan
Title
Multi Environment Trials Analysis
Version
1.2.1
Maintainer
Tiago Olivoto
Description
Performs stability analysis of multi-environment trial data using parametric and non-parametric methods. Parametric methods includes Additive Main Effects and Multiplicative Interaction (AMMI) analysis by Gauch (2013) , Genotype plus Genotype-Environment (GGE) biplot analysis by Yan & Kang (2003) , joint Regression Analysis by Eberhart & Russel (1966) (), ecovalence by Wricke (1965), genotypic confidence index by Annicchiarico (1992), Murakami & Cruz's (2004) method , stability variance by Shukla (1972) , weighted average of absolute scores by Olivoto et al. (2019a) , and multi-trait stability index by Olivoto et al. (2019b) . Non-parametric methods includes superiority index by Lin & Binns (1988) , nonparametric measures of phenotypic stability by Huehn (1990) , TOP third statistic by Fox et al. (1990) , geometric adaptability index described by Shahbazi (2019) . Functions for computing biometrical analysis such as path analysis, canonical correlation, partial correlation, clustering analysis, and tools for inspecting, manipulating, summarizing and plotting typical multi-environment trial data are also provided.
License
GPL-3
URL
BugReports
https://github.com/TiagoOlivoto/metan/issues
Depends
R (>= 3.5.0)
Imports
ade4, dendextend, cowplot, dplyr, FWDselect, GGally, ggforce, ggplot2, ggrepel, gplots, grid, lattice, lme4, lmerTest, magrittr, methods, progress, rlang, tibble, tidyr, tidyselect
Suggests
DT, knitr, readxl, rmarkdown, roxygen2
VignetteBuilder
knitr
Encoding
UTF-8
Language
en-US
LazyData
true
RoxygenNote
7.0.2
NeedsCompilation
no
Packaged
2020-01-10 17:23:25 UTC; tiago
Author
Tiago Olivoto [aut, cre, cph] ()
Repository
CRAN
Date/Publication
2020-01-14 10:20:02 UTC

install.packages('metan')

1.2.1

10 days ago

https://github.com/TiagoOlivoto/metan

Tiago Olivoto

GPL-3

Depends on

R (>= 3.5.0)

Imports

ade4, dendextend, cowplot, dplyr, FWDselect, GGally, ggforce, ggplot2, ggrepel, gplots, grid, lattice, lme4, lmerTest, magrittr, methods, progress, rlang, tibble, tidyr, tidyselect

Suggests

DT, knitr, readxl, rmarkdown, roxygen2

Discussions