aridagri: Comprehensive Statistical Tools for Agricultural Research
Analysis of variance for the experimental designs used in
agricultural research, with the correct error term for every stratum,
standard error of mean (SEm), standard error of difference (SEd),
critical difference (CD), coefficient of variation (CV) and letter
groupings: completely randomized design (CRD), randomized complete
block design (RCBD) with missing plots, Latin square, two- and
three-factor factorials, split-plot designs (including factorial main
or sub-plots), split-split-plot and strip-plot designs, and combined
analysis over environments. Also covers the augmented randomized
complete block design with adjusted means and genetic parameters
(Federer, 1961 <doi:10.2307/2527837>), alpha lattice designs with
intra-block or residual maximum likelihood (REML) analysis (Patterson
and Williams, 1976 <doi:10.1093/biomet/63.1.83>) and repeated measures
with Greenhouse-Geisser and Huynh-Feldt corrections and covariance
structure models. Mean comparisons (least significant difference,
Duncan, Tukey, Student-Newman-Keuls, Scheffe, Bonferroni and Dunnett)
follow Gomez and Gomez (1984, ISBN:0471870927), with letters assigned
by the algorithm of Piepho (2004) <doi:10.1198/1061860043515>.
Stability analysis includes Eberhart and Russell (1966)
<doi:10.2135/cropsci1966.0011183X000600010011x> regression, additive
main effects and multiplicative interaction (AMMI), Finlay-Wilkinson,
Shukla, Wricke, coefficient of variation and Lin-Binns methods, and
genotype plus genotype-by-environment (GGE) biplots (Yan et al., 2000
<doi:10.2135/cropsci2000.403597x>). Further tools compute growing
degree days, helio-thermal and photo-thermal units, crop growth rate,
relative growth rate, net assimilation rate, leaf area index and leaf
area duration, harvest index, yield gaps with the technology index,
nutrient use efficiency, quadratic, plateau and Mitscherlich response
curves with the economic optimum dose, benefit-cost ratio,
correlation, principal component, path and structural equation
analysis, publication tables for many traits and figures.
| Version: |
2.1.0 |
| Depends: |
R (≥ 4.0.0) |
| Imports: |
grDevices, graphics, nlme, stats, utils |
| Suggests: |
agricolae, corrplot, emmeans, factoextra, ggplot2 (≥ 3.4.0), knitr, lavaan, multcomp, rmarkdown, semPlot, testthat (≥
3.0.0), tibble, writexl |
| Published: |
2026-11-10 |
| DOI: |
10.32614/CRAN.package.aridagri |
| Author: |
Lalit Kumar Rolaniya
 [aut, cre],
Ram Lal Jat [aut],
Monika Punia
[aut] (deceased),
Raja Ram Choudhary [aut],
Hemant Poonia
[aut] (deceased) |
| Maintainer: |
Lalit Kumar Rolaniya <lalitrolaniya at gmail.com> |
| BugReports: |
https://github.com/lalitrolaniya/aridagri/issues |
| License: |
GPL-3 |
| URL: |
https://github.com/lalitrolaniya/aridagri,
https://lalitrolaniya.github.io/aridagri/ |
| NeedsCompilation: |
no |
| Citation: |
aridagri citation info |
| Materials: |
NEWS |
| In views: |
Agriculture |
| CRAN checks: |
aridagri results |
Documentation:
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