Package: fullfact 1.6

Aimee Lee Houde

fullfact: Full Factorial Breeding Analysis

We facilitate the analysis of full factorial mating designs with mixed-effects models. The package contains six vignettes containing detailed examples.

Authors:Aimee Lee Houde [aut, cre], Trevor Pitcher [aut]

fullfact_1.6.tar.gz
fullfact_1.6.tar.gz(r-4.7-any)fullfact_1.6.tar.gz(r-4.6-any)
fullfact_1.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
fullfact/json (API)

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

On CRAN:

Conda:

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

3.43 score 45 scripts 521 downloads 1 mentions 36 exports 73 dependencies

Last updated from:20210aa397. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK188
source / vignettesOK283
linux-release-x86_64OK188
wasm-releaseOK113

Exports:barMANAboxMANAbuildBinarybuildMulticiJackciJack2ciJack3ciMANAciMANA2ciMANA3JackGlmerJackGlmer2JackGlmer3JackLmerJackLmer2JackLmer3observGlmerobservGlmer2observGlmer3observLmerobservLmer2observLmer3powerGlmerpowerGlmer2powerGlmer3powerLmerpowerLmer2powerLmer3resampFamilyresampGlmerresampGlmer2resampGlmer3resampLmerresampLmer2resampLmer3resampRepli

Dependencies:abindafexbackportsbootbroomcarcarDataclicolorspacecowplotcpp11DerivdoBydplyrfarverforecastFormulafracdiffgenericsggplot2gluegtableisobandlabelinglatticelifecyclelme4lmerTestlmtestmagrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigplyrpurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasreshape2rlangS7scalesSparseMstringistringrsurvivaltibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrzoo

Advanced Non-Normal Data Example
Load the package and example data | Convert to a binary data frame | Observed variance components | Statistical Power analysis | Bootstrap confidence intervals | Resample observations | Iteration variance components | Extract confidence intervals | Bias and accelerated corrected confidence intervals | Jackknife confidence intervals | Plotting confidence intervals | Bar plot | Box plot

Last update: 2026-03-16
Started: 2021-03-14

Expert Non-Normal Data Example
Load the package and example data | Convert to a binary data frame | Observed variance components | Statistical Power analysis | Bootstrap confidence intervals | Resample observations | Iteration variance components | Extract confidence intervals | Bias and accelerated corrected confidence intervals | Jackknife confidence intervals | Plotting confidence intervals | Bar plot | Box plot

Last update: 2026-03-16
Started: 2021-03-14

Simple Non-Normal Data Example
Load the package and example data | Convert to a binary data frame | Observed variance components | Statistical Power analysis | Bootstrap confidence intervals | Resample observations | Iteration variance components | Extract confidence intervals | Bias and accelerated corrected confidence intervals | Jackknife confidence intervals | Plotting confidence intervals | Bar plot | Box plot

Last update: 2026-03-16
Started: 2021-03-14

Advanced Normal Data Example
Load the package and example data | Observed variance components | Statistical Power analysis | Bootstrap confidence intervals | Resample observations | Iteration variance components | Extract confidence intervals | Bias and accelerated corrected confidence intervals | Jackknife confidence intervals | Plotting confidence intervals | Bar plot | Box plot

Last update: 2021-03-14
Started: 2021-03-14

Expert Normal Data Example
Load the package and example data | Observed variance components | Statistical Power analysis | Bootstrap confidence intervals | Resample observations | Iteration variance components | Extract confidence intervals | Bias and accelerated corrected confidence intervals | Jackknife confidence intervals | Plotting confidence intervals | Bar plot | Box plot

Last update: 2021-03-14
Started: 2021-03-14

Simple Normal Data Example
Load the package and example data | Observed variance components | Statistical Power analysis | Bootstrap confidence intervals | Resample observations | Iteration variance components | Extract confidence intervals | Bias and accelerated corrected confidence intervals | Jackknife confidence intervals | Plotting confidence intervals | Bar plot | Box plot

Last update: 2021-03-14
Started: 2021-03-14

Readme and manuals

Help Manual

Help pageTopics
Full Factorial Breeding Analysisfullfact-package fullfact
Bargraph of confidence intervalsbarMANA
Boxplot of resampled resultsboxMANA
Convert to a binary data framebuildBinary
Convert to a multinomial framebuildMulti
Chinook salmon length, bootstrap calculationschinook_bootL
Chinook salmon survival, bootstrap datachinook_bootS
Chinook salmon length, jackknife datachinook_jackL
Chinook salmon survival, jackknife datachinook_jackS
Chinook salmon length, raw datachinook_length
Chinook salmon length, bootstrap resampledchinook_resampL
Chinook salmon survival, bootstrap resampledchinook_resampS
Chinook salmon survival, raw datachinook_survival
Jackknife confidence intervalsciJack
Jackknife confidence intervals 2ciJack2
Jackknife confidence intervals 3ciJack3
Bootstrap confidence intervalsciMANA
Bootstrap confidence intervals 2ciMANA2
Bootstrap confidence intervals 3ciMANA3
Jackknife components for non-normal dataJackGlmer
Jackknife components for non-normal data 2JackGlmer2
Jackknife components for non-normal data 3JackGlmer3
Jackknife components for normal dataJackLmer
Jackknife components for normal data 2JackLmer2
Jackknife components for normal data 3JackLmer3
Variance components for non-normal dataobservGlmer
Variance components for non-normal data 2observGlmer2
Variance components for non-normal data 3observGlmer3
Variance components for normal dataobservLmer
Variance components for normal data 2observLmer2
Variance components for normal data 3observLmer3
Power analysis for non-normal datapowerGlmer
Power analysis for non-normal data 2powerGlmer2
Power analysis for non-normal data 3powerGlmer3
Power analysis for normal datapowerLmer
Power analysis for normal data 2powerLmer2
Power analysis for normal data 3powerLmer3
Bootstrap resample within familiesresampFamily
Bootstrap components for non-normal dataresampGlmer
Bootstrap components for non-normal data 2resampGlmer2
Bootstrap components for non-normal data 3resampGlmer3
Bootstrap components for normal dataresampLmer
Bootstrap components for normal data 2resampLmer2
Bootstrap components for normal data 3resampLmer3
Bootstrap resample within replicatesresampRepli