Package: lmDiallel 1.0.2

lmDiallel: Linear Fixed/Mixed Effects Models for Diallel Crosses

Several service functions to be used to analyse datasets obtained from diallel experiments within the frame of linear models in R, as described in Onofri et al (2020) <doi:10.1007/s00122-020-03716-8>.

Authors:Andrea Onofri [aut, cre], Niccolo Terzaroli [aut]

lmDiallel_1.0.2.tar.gz
lmDiallel_1.0.2.zip(r-4.7)lmDiallel_1.0.2.zip(r-4.6)lmDiallel_1.0.2.zip(r-4.5)
lmDiallel_1.0.2.tgz(r-4.6-any)lmDiallel_1.0.2.tgz(r-4.5-any)
lmDiallel_1.0.2.tar.gz(r-4.7-any)lmDiallel_1.0.2.tar.gz(r-4.6-any)
lmDiallel_1.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
lmDiallel/json (API)

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

Bug tracker:https://github.com/onofriandreapg/lmdiallel/issues

Datasets:
  • diallelMET - Factitious dataset for Diallel analysis
  • griffing56 - Griffing's dataset for diallel analysis
  • hayman54 - Hayman dataset for diallel analysis
  • lonnquist61 - Half diallel of maize dataset
  • zhang05 - Data for diallel analysis from Zhang

On CRAN:

Conda:

3.70 score 5 stars 20 scripts 272 downloads 1 mentions 48 exports 37 dependencies

Last updated from:f0d1272bea. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK148
source / vignettesOK179
linux-release-x86_64OK163
macos-release-arm64OK208
macos-oldrel-arm64OK135
windows-develOK110
windows-releaseOK99
windows-oldrelOK131
wasm-releaseOK115

Exports:anova.diallelblockMatrixDiagonalcheckSchemeDDdiallel.effemm.diallelexpand.diallelG1.effG2.effG3.effG4.effGCAGCACGCAmisGE2.effGE2r.effGE3.effGE3r.effglht.diallelModH.BARhayman1.effhayman2.effHiint.matrixlm.diallelmatBlockMDDMET1.effMET2.effMET3.effmmer.diallelmodel.matrix.diallelmodel.matrixDiallelmodel.matrixDiallel.METpredict.diallelRECREC.G3RGCARSCASCASCA.G3SCA.GESCAmisSPsummary.dialleltSCAvcov.diallelVEi

Dependencies:clicodetoolscpp11crayondplyrenhancergenericsgluelatticelifecyclemagrittrMASSMatrixmultcompmvtnormpillarpkgconfigplyrpurrrR6RcppRcppArmadilloRcppProgressrlangsandwichsommerstringistringrsurvivalTH.datatibbletidyrtidyselectutf8vctrswithrzoo

Readme and manuals

Help Manual

Help pageTopics
Creates block diagonal matrix. It is used internally.blockMatrixDiagonal
Dominant Deviation effectDD
Factitious dataset for Diallel analysisdiallelMET
Functions to retreive full list of genetical effectsdiallel.eff G1.eff G2.eff G3.eff G4.eff GE2.eff GE2r.eff GE3.eff GE3r.eff glht.diallelMod hayman1.eff hayman2.eff MET1.eff MET2.eff MET3.eff
Create a Data Frame from All Combinations of Parentalsexpand.diallel
General Combining Ability effectGCA GCAmis
General Combining Ability without considering the selfed parentsGCAC
Griffing's dataset for diallel analysisgriffing56
Average heterosis effectH.BAR
Hayman dataset for diallel analysishayman54
Average heterosis effectHi
Utilities for fitting diallel models.checkScheme emm.diallel int.matrix
Fitting diallel linear modelslm.diallel
Methods for diallel model fittinganova.diallel glht.diallel model.matrix.diallel predict.diallel summary.diallel vcov.diallel
Half diallel of maize datasetlonnquist61
Design matrix for blocksmatBlock
Mean Dominance Deviation effectMDD
Fitting random diallel linear modelsmmer.diallel
Incidence matrices for Diallel model parametrisationmodel.matrixDiallel model.matrixDiallel.MET
Reciprocal Effect not parted into RGCA and RSCAREC REC.G3
Reciprocal General Combining AbilityRGCA
Reciprocal Specific Combining AbilityRSCA
Specific Combining AbilitySCA SCA.G3 SCA.GE SCAmis
Selfed Parents effectSP
Total Specific Combining AbilitytSCA
Variety EffectVEi
Data for diallel analysis from Zhang (2005)zhang05