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FielDHub: A Shiny App for Design of Experiments in Life Sciences

A shiny design of experiments (DOE) app that aids in the creation of traditional, un-replicated, augmented and partially-replicated designs applied to agriculture, plant breeding, forestry, animal and biological sciences.

Version: 1.3.7
Depends: R (≥ 4.1.0)
Imports: config, golem, shiny (≥ 1.7.0), htmltools, DT, shinythemes, dplyr, numbers, blocksdesign, shinycssloaders, ggplot2, plotly, viridis, shinyalert, desplot, shinyjs
Suggests: testthat (≥ 3.0.0), spelling, rlang, glue, knitr, kableExtra, rmarkdown
Published: 2024-03-28
Author: Didier Murillo [cre, aut], Salvador Gezan [aut], Ana Heilman [ctb], Thomas Walk [ctb], Johan Aparicio [ctb], Matthew Seefeldt [ctb], Jean-Marc Montpetit [ctb], Richard Horsley [ctb], North Dakota State University [cph]
Maintainer: Didier Murillo <didier.murilloflorez at ndsu.edu>
BugReports: https://github.com/DidierMurilloF/FielDHub/issues
License: MIT + file LICENSE
URL: https://github.com/DidierMurilloF/FielDHub, https://didiermurillof.github.io/FielDHub/
NeedsCompilation: no
Language: en-US
Materials: README NEWS
In views: Agriculture
CRAN checks: FielDHub results

Documentation:

Reference manual: FielDHub.pdf
Vignettes: Augmented Randomized Complete Block Design
Alpha Lattice Design
Unreplicated Diagonal Arrangement Design
Full Factorial Design
Incomplete Block Design
Optimized Multi-Location P-rep Design
Un-replicated Optimized Arrangement Design
Partially Replicated (p-rep) Design
Randomized Complete Block Design
Rectangular Lattice Design
Row-Column Design
Sparse Allocation
Split-Plot Design
Square Lattice Design

Downloads:

Package source: FielDHub_1.3.7.tar.gz
Windows binaries: r-devel: FielDHub_1.3.7.zip, r-release: FielDHub_1.3.7.zip, r-oldrel: FielDHub_1.3.7.zip
macOS binaries: r-release (arm64): FielDHub_1.3.7.tgz, r-oldrel (arm64): FielDHub_1.3.7.tgz, r-release (x86_64): FielDHub_1.3.7.tgz, r-oldrel (x86_64): FielDHub_1.3.7.tgz
Old sources: FielDHub archive

Reverse dependencies:

Reverse imports: agricolaeplotr

Linking:

Please use the canonical form https://CRAN.R-project.org/package=FielDHub to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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