Package: gosset 1.5.1

Kauê de Sousa

gosset: Tools for Data Analysis in Experimental Agriculture

Methods to analyse experimental agriculture data, from data synthesis to model selection and visualisation. The package is named after W.S. Gosset aka ‘Student’, a pioneer of modern statistics in small sample experimental design and analysis.

Authors:Kauê de Sousa [aut, cre], Jacob van Etten [aut], David Brown [aut], Jonathan Steinke [aut], Joost van Heerwaarden [aut]

gosset_1.5.1.tar.gz
gosset_1.5.1.zip(r-4.7)gosset_1.5.1.zip(r-4.6)gosset_1.5.1.zip(r-4.5)
gosset_1.5.1.tgz(r-4.6-any)gosset_1.5.1.tgz(r-4.5-any)
gosset_1.5.1.tar.gz(r-4.7-any)gosset_1.5.1.tar.gz(r-4.6-any)
gosset_1.5.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
gosset/json (API)
NEWS

# Install 'gosset' in R:
install.packages('gosset', repos = c('https://agrdatasci.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/agrdatasci/gosset/issues

Pkgdown/docs site:https://agrdatasci.github.io

Datasets:
  • breadwheat - Preferred bread wheat varieties
  • cassava - Gari-Eba Consumer Acceptability in Cameroon and Nigeria
  • kenyachoice - Kenyan farmers’ preferences for agricultural and livelihood practices
  • nicabean - Common bean on-farm trial in Nicaragua

On CRAN:

Conda:

experimental-designrankings-data

6.02 score 6 stars 29 scripts 438 downloads 27 exports 108 dependencies

Last updated from:bb5eb75c08. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK216
source / vignettesOK255
linux-release-x86_64OK226
macos-release-arm64OK128
macos-oldrel-arm64OK155
windows-develOK135
windows-releaseOK153
windows-oldrelOK161
wasm-releaseOK165

Exports:akaike_weightsbtpermutecomparecrossvalidationkendallTaukendallTau_bootstrapkendallTau_permutekendallWlikelihood_rationode_labelsnode_rulespairwise_probspreference_indexpseudo_rankpseudoR2rank_numericrank_tricotrank_tricot2regretreliabilityresamplerowbindset_binomialfreqset_paircomptop_itemsworth_barworth_map

Dependencies:askpassbackportsbitbit64bootBradleyTerry2brglmcellrangercheckmateclarabelclassclicliprcpp11crayoncurlCVXRdata.tableDescToolsdplyre1071ExactexpmfarverforcatsFormulafsgenericsggpartyggplot2ggrepelgldgluegmpgtablegtoolshavenhighshmshttrigraphinumisobandjsonlitelabelinglatticelibcoinlifecyclelme4lmommagrittrMASSMatrixmatrixStatsmimeminqamvtnormnlmenloptropensslosqppartykitpatchworkpillarpkgconfigPlackettLuceprettyunitsprofileModelprogressproxypsychotoolspsychotreepurrrqvcalcR6rbibutilsRColorBrewerRcppRcppEigenRdpackreadrreadxlreformulasrematchrlangrootSolverpartRSpectrarstudioapiS7sandwichscalesscsslamstringistringrsurvivalsystibbletidyrtidyselecttzdbutf8vctrsviridisLitevroomwithrzoo

Integrating farmer-generated data and agro-climatic data for crop variety selection

Rendered fromvignette-1-trait-prioritization-and-crop-performance.Rmdusingknitr::rmarkdown_notangleon May 29 2026.

Last update: 2025-10-01
Started: 2024-04-25

Consumer preference of cassava gari-eba

Rendered fromvignette-2-gari-eba-consumer-testing.Rmdusingknitr::rmarkdown_notangleon May 29 2026.

Last update: 2024-12-05
Started: 2024-11-21

Readme and manuals

Help Manual

Help pageTopics
Akaike weightsakaike_weights
Likelihood-ratio testanova.PlackettLuce likelihood_ratio
Preferred bread wheat varietiesbreadwheat
Variable selection with Permuted Inclusion Criterionbtpermute
Gari-Eba Consumer Acceptability in Cameroon and Nigeriacassava
Compare agreement between two methodscompare compare.default compare.PlackettLuce
Cross-validationAIC.bttree AIC.gnm crossvalidation deviance.bttree deviance.gnm deviance.pltree
Tools for Data Analysis in Experimental Agriculturegosset-package gosset
Kendall rank correlation coefficientkendallTau kendallTau.default kendallTau.grouped_rankings kendallTau.matrix kendallTau.paircomp kendallTau.rankings kendallTau_bootstrap kendallTau_permute
Kendall's W (coefficient of concordance)kendallW kendallW.default kendallW.pltree
Kenyan farmers’ preferences for agricultural and livelihood practiceskenyachoice
Common bean on-farm trial in Nicaraguanicabean
Compute pairwise probabilitiespairwise_probs
Get node labels and rules used in a party treenode_labels node_rules plot.PlackettLuce plot.pltree top_items
Preference index from rankingspreference_index
Add pseudo-rank to missing valuespseudo_rank
Pseudo R-squaredpseudoR2 pseudoR2.bttree pseudoR2.default pseudoR2.pltree
Plackett-Luce rankings from numeric valuesrank_numeric
Build Plackett-Luce rankings from tricot datasetrank_tricot
Build Plackett-Luce rankings from tricot ranking datasetrank_tricot2
Regret-based values for risk assessmentregret regret.default regret.list regret.pltree
Probability of outperforming a checkreliability reliability.default reliability.PlackettLuce reliability.pltree
Re-sample model estimatesresample
Combine R objects by rowsrowbind rowbind.default rowbind.list
Binomial frequency rankings from pairwise contestsset_binomialfreq
Pairwise comparison rankingsset_paircomp
Plot worth parametersworth_bar worth_map worth_map.default worth_map.list