Package: CBADASReml 0.2.1

Kai Bagley

CBADASReml: Provides helper functions for ASReml

This package provides helper functions for ASReml, for use with small-plot and on-farm experimentation trials.

Authors:Kai Bagley [aut, cre], Jordan Brown [aut], Matthew Nguyen [aut], Braden Thorne [aut], Adam H. Sparks [aut], Grains Research and Development Corporation [fnd, cph]

CBADASReml_0.2.1.tar.gz
CBADASReml_0.2.1.zip(r-4.7)CBADASReml_0.2.1.zip(r-4.6)CBADASReml_0.2.1.zip(r-4.5)
CBADASReml_0.2.1.tgz(r-4.6-any)CBADASReml_0.2.1.tgz(r-4.5-any)
CBADASReml_0.2.1.tar.gz(r-4.7-any)CBADASReml_0.2.1.tar.gz(r-4.6-any)
CBADASReml_0.2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
CBADASReml/json (API)

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

Bug tracker:https://github.com/aagi-aus/cbadasreml/issues

Pkgdown/docs site:https://aagi-aus.github.io

On CRAN:

Conda:

agricultural researchexperimental analysisagricultural-analysisagricultural-modellingagricultureagriculture-dataagriculture-research

4.52 score 1 stars 11 scripts 14 exports 196 dependencies

Last updated from:4479effbcf. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE184
source / vignettesOK237
linux-release-x86_64NOTE186
macos-release-arm64NOTE155
macos-oldrel-arm64NOTE118
windows-develNOTE117
windows-releaseNOTE96
windows-oldrelNOTE96
wasm-releaseOK187

Exports:anova_tabledesign_efficiencydesign_powerdirectional_variogramsexploratory_tablelsd_graphlsd_grouplsd_tableofe_grid_dataofe_rotate_dataoutlier_summaryplot_gridded_ofepred_tablereport_tables

Dependencies:abindaskpassasremlPlusbackportsbase64encbitopsbootbrewbriobroombslibcachemcallrcarcarDatacaToolsclassclassIntclicliprcodetoolscolorspacecommonmarkcorrplotcowplotcpp11crayoncredentialscurldaeDBIDEoptimRDerivdescdevtoolsdiffobjdigestdoBydoParalleldownlitdplyre1071ellipsisemmeansestimabilityevaluatefansifarverfastmapFNNfontawesomeforeachforecastFormulafracdifffsgenericsgertggplot2ggpubrggrepelggsciggsignifghgitcredsgluegridExtragstatgtablehighrhtmltoolshtmlwidgetshttpuvhttr2iniintervalsisobanditeratorsjquerylibjsonliteKernSmoothknitrlabelinglaterlatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminiUIminqamodelrmvtnormnlmenloptrnnetnumDerivopdisDownsamplingopensslotelpakpbkrtestpbmcapplypillarpkgbuildpkgconfigpkgdownpkgloadplyrpolynompracmapraiseprettyunitsprocessxprofvispromisesproxypspurrrqqconfqqplotrquantregR6raggrappdirsrbibutilsrcmdcheckRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasreshape2rlangrmarkdownrobustbaseroxygen2rprojrootrstatixrstudioapirversionss2S7sassscalessessioninfosfsftimeshinysourcetoolsspspacetimeSparseMstarsstickystringistringrsurvivalsyssystemfontstestthattextshapingtibbletidyrtidyselecttimeDatetinytextryCatchLogtwosamplesunitsurcaurlcheckerusethisutf8vctrsviridisLitewaldowhiskerwithrwkxfunxml2xopenxtablextsyamlzipzoo

Experimental design power
Introduction | Design of Experiments | Spatial Statistics Pitfalls | Local control | Fisher information normally | What does this even mean? | Ah yes, local control! | Noncentrality Parameter | Statistical Power | Known Covariance | Unknown Covariance | Omnibus Test
Rendered fromdesign-power.Rmdusingknitr::rmarkdown

Last update: 2026-05-27
Started: 2026-05-18

Small-plot analysis
CBADASReml | Introduction | Mathematical Background | \begin{equation*}y | Exploratory Data Analysis | Model Fitting and Validation | Data | $y$ | $X$ | $b$ | $Z$ | \begin | \begin | $u$ | $G$ | $e$ | $R$ | Function examples | Traditional Diagnostics (ASReml-R) | plot.asreml | plot(varioGram(mod)) | CBADASReml Diagnostics | outlier_summary | directional_variograms | Model Outputs | Traditional Outputs (ASReml-R) | wald | predict | CBADASReml Outputs | anova_table | pred_table | Least significant difference | lsd_table | lsd_graph
Rendered fromsmall_plot_analysis.Rmdusingknitr::rmarkdown

Last update: 2025-08-22
Started: 2025-07-15