Package: agriReg 0.1.0

agriReg: Linear and Nonlinear Regression for Agricultural Data

Fit, compare, and visualise linear and nonlinear regression models tailored to field-trial and dose-response agricultural data. Provides S3 classes for mixed-effects models (via 'lme4'), nonlinear growth curves (logistic, 'Gompertz', asymptotic, linear-plateau, quadratic), and four/five-parameter log-logistic dose-response models (via 'drc'). Includes automated starting-value heuristics, goodness-of-fit statistics, residual diagnostics, and 'ggplot2'-based visualisation. Methods are based on Bates and Watts (1988, ISBN:9780471816430), Ritz and others (2015) <doi:10.1371/journal.pone.0146021>, and Bates and others (2015) <doi:10.18637/jss.v067.i01>.

Authors:Sadikul Islam [aut, cre]

agriReg_0.1.0.tar.gz
agriReg_0.1.0.zip(r-4.7)agriReg_0.1.0.zip(r-4.6)agriReg_0.1.0.zip(r-4.5)
agriReg_0.1.0.tgz(r-4.6-any)agriReg_0.1.0.tgz(r-4.5-any)
agriReg_0.1.0.tar.gz(r-4.7-any)agriReg_0.1.0.tar.gz(r-4.6-any)
agriReg_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
agriReg/json (API)

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

On CRAN:

Conda:

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

2.30 score 264 downloads 15 exports 78 dependencies

Last updated from:d86450b33c. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK138
source / vignettesOK220
linux-release-x86_64OK153
macos-release-arm64OK135
macos-oldrel-arm64OK118
windows-develOK89
windows-releaseOK83
windows-oldrelOK100
wasm-releaseOK129

Exports:clean_agri_datacompare_modelsed_estimatesfit_dose_responsefit_linearfit_nonlinearfit_polynomialgof_statsload_example_datamodel_summaryoptimum_doseoutlier_flagplot_fitresidual_checkyield_normalize

Dependencies:abindbackportsbootbroomcarcarDataclicodetoolscolorspacecowplotcpp11DerivdoBydplyrdrcfarverforecastFormulafracdiffgenericsggplot2gluegtablegtoolsisobandlabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmultcompmvtnormnlmenloptrnnetnumDerivpatchworkpbkrtestpillarpkgconfigplotrixpurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangS7sandwichscalesSparseMstringistringrsurvivalTH.datatibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrzoo

Advanced: Mixed models and multi-environment trials

agriReg Authors

Rendered fromadvanced-mixed-models.Rmdusingknitr::rmarkdownon Jun 23 2026.

Last update: 2026-03-31
Started: 2026-03-31

Getting started with agriReg

agriReg Authors

Rendered fromgetting-started.Rmdusingknitr::rmarkdownon Jun 23 2026.

Last update: 2026-03-31
Started: 2026-03-31