Package: KenSyn 0.3

KenSyn: Knowledge Synthesis in Agriculture - From Experimental Network to Meta-Analysis

Demo and dataset accompaying the books : De l'analyse des réseaux expérimentaux à la méta-analyse: Méthodes et applications avec le logiciel R pour les sciences agronomiques et environnementales (Published 2018-06-28, Quae, for french version) by David Makowski, Francois Piraux and Francois Brun - <https://www.quae.com/produit/1514/9782759228164/de-l-analyse-des-reseaux-experimentaux-a-la-meta-analyse> Knowledge Synthesis in Agriculture : from Experimental Network to Meta-Analysis (in preparation for 2018-06, Springer , for English version) by David Makowski, Francois Piraux and Francois Brun A full description of all the material is in both books. ACKNOWLEDGMENTS : The French network "RMT modeling and data analysis for agriculture" (<http://www.modelia.org>) have contributed to the development of this R package. This project and network are lead by ACTA (French Technical Institute for Agriculture) and was funded by a grant from the Ministry of Agriculture and Fishing of France.

Authors:David Makowski [aut], Francois Piraux [aut], Francois Brun [aut, cre]

KenSyn_0.3.tar.gz
KenSyn_0.3.zip(r-4.5)KenSyn_0.3.zip(r-4.4)KenSyn_0.3.zip(r-4.3)
KenSyn_0.3.tgz(r-4.4-any)KenSyn_0.3.tgz(r-4.3-any)
KenSyn_0.3.tar.gz(r-4.5-noble)KenSyn_0.3.tar.gz(r-4.4-noble)
KenSyn_0.3.tgz(r-4.4-emscripten)KenSyn_0.3.tgz(r-4.3-emscripten)
KenSyn.pdf |KenSyn.html
KenSyn/json (API)

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

Peer review:

Datasets:
  • N2O - Meta-analysis dataset to estimate the response of N2O emissions to the applied N fertilizer rate.
  • citrus - Meta-analysis dataset: estimation the effectiveness of a fungicidal treatment to control Phyllosticta citricarpa, a citrus fungus.
  • machines - Workers testing a new machine.
  • organic - Meta-analysis dataset on comparison of organic to conventional crop systems.
  • wheat_var - Network of experiment to evaluate Wheat varieties on one single year.
  • wheat_var_itk - Network of experiment to evaluate Wheat varieties on one single year with different cropping systems.
  • wheat_var_soil - Network of experiment to evaluate Wheat varieties on two contrasted soils.
  • wheat_var_years - Network of experiment to evaluate Wheat varieties on several years (2005-2010).
  • wheatyield - Wheat Yield at a regional scale (fake data).

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.30 score 20 scripts 185 downloads 0 exports 15 dependencies

Last updated 6 years agofrom:ce4410be1d. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 23 2024
R-4.5-winNOTENov 23 2024
R-4.5-linuxNOTENov 23 2024
R-4.4-winNOTENov 23 2024
R-4.4-macNOTENov 23 2024
R-4.3-winNOTENov 23 2024
R-4.3-macNOTENov 23 2024

Exports:

Dependencies:bootlatticelme4MASSmathjaxrMatrixmetadatmetaforminqanlmenloptrnumDerivpbapplyRcppRcppEigen