{ "_id": "6a1d32721d7bb097a0a3ba92", "Package": "agriReg", "Title": "Linear and Nonlinear Regression for Agricultural Data", "Version": "0.1.0", "Authors@R": "person(\ngiven = \"Sadikul\",\nfamily = \"Islam\",\nemail = \"sadikul.islamiasri@gmail.com\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0003-2924-7122\")\n)", "Description": "Fit, compare, and visualise linear and nonlinear\nregression models tailored to field-trial and dose-response\nagricultural data. Provides S3 classes for mixed-effects models\n(via 'lme4'), nonlinear growth curves (logistic, 'Gompertz',\nasymptotic, linear-plateau, quadratic), and four/five-parameter\nlog-logistic dose-response models (via 'drc'). Includes\nautomated starting-value heuristics, goodness-of-fit\nstatistics, residual diagnostics, and 'ggplot2'-based\nvisualisation. Methods are based on Bates and Watts (1988,\nISBN:9780471816430), Ritz and others (2015)\n, and Bates and others (2015)\n.", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "Language": "en-US", "RoxygenNote": "7.3.3", "VignetteBuilder": "knitr", "Config/testthat/edition": "3", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-01 07:16:12 UTC", "User": "root" }, "Author": "Sadikul Islam [aut, cre] (ORCID:\n)", "Maintainer": "Sadikul Islam ", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2026-03-31 15:40:35 UTC", "RemoteUrl": "https://github.com/cran/agriReg", "RemoteRef": "HEAD", "RemoteSha": "d86450b33c737e87ed7e4c3176711e39aeb13c51", "MD5sum": "786eee3a83aad7e4737fc3aa8fa854d2", "_user": "cran", "_type": "src", "_file": "agriReg_0.1.0.tar.gz", "_fileid": "94b2013eed9f9e41477c59a4e0f4ac6f2581e01383d9b8d67efa40efc19f7e0d", "_filesize": 1042908, "_sha256": "94b2013eed9f9e41477c59a4e0f4ac6f2581e01383d9b8d67efa40efc19f7e0d", "_created": "2026-06-01T07:16:12.000Z", "_published": "2026-06-01T07:19:14.433Z", "_distro": "noble", "_jobs": [ { "job": 78804003659, "time": 152, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7325510529" }, { "job": 78804003640, "time": 144, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7325508568" }, { "job": 78803538400, "time": 219, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7325470625" }, { "job": 78804003621, "time": 129, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7325504722" } ], "_buildurl": "https://github.com/r-universe/cran/actions/runs/26740606965", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/cran/agriReg", "_commit": { "id": "d86450b33c737e87ed7e4c3176711e39aeb13c51", "author": "Sadikul Islam ", "committer": "cran-robot ", "message": "version 0.1.0\n", "time": 1774971635 }, "_maintainer": { "name": "Sadikul Islam", "email": "sadikul.islamiasri@gmail.com", "orcid": "0000-0003-2924-7122" }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 4.1.0", "role": "Depends" }, { "package": "lme4", "version": ">= 1.1-35", "role": "Imports" }, { "package": "drc", "version": ">= 3.0-1", "role": "Imports" }, { "package": "ggplot2", "version": ">= 3.4.0", "role": "Imports" }, { "package": "patchwork", "version": ">= 1.1.0", "role": "Imports" }, { "package": "stats", "role": "Imports" }, { "package": "utils", "role": "Imports" }, { "package": "broom", "version": ">= 1.0.0", "role": "Suggests" }, { "package": "broom.mixed", "version": ">= 0.2.9", "role": "Suggests" }, { "package": "emmeans", "version": ">= 1.8.0", "role": "Suggests" }, { "package": "nlme", "version": ">= 3.1-0", "role": "Suggests" }, { "package": "methods", "role": "Suggests" }, { "package": "testthat", "version": ">= 3.0.0", "role": "Suggests" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" }, { "package": "lmerTest", "role": "Suggests" }, { "package": "car", "role": "Suggests" }, { "package": "multcomp", "role": "Suggests" } ], "_owner": "cran", "_selfowned": false, "_usedby": 0, "_updates": [ { "week": "2026-14", "n": 1 } ], "_tags": [ { "name": "0.1.0", "date": "2026-03-31" } ], "_stars": 0, "_userbio": { "uuid": 6899542, "type": "organization", "name": "cran", "description": "Unofficial read-only mirror of all CRAN R packages" }, "_downloads": { "count": 203, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/agriReg" }, "_searchresults": 0, "_rbuild": "4.6.0", "_assets": [ "extra/agriReg.html", "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "manual.pdf" ], "_realowner": "cran", "_cranurl": false, "_releases": [ { "version": "0.1.0", "date": "2026-03-31" } ], "_exports": [ "clean_agri_data", "compare_models", "ed_estimates", "fit_dose_response", "fit_linear", "fit_nonlinear", "fit_polynomial", "gof_stats", "load_example_data", "model_summary", "optimum_dose", "outlier_flag", "plot_fit", "residual_check", "yield_normalize" ], "_help": [ { "page": "agriReg-package", "title": "agriReg: Linear and Nonlinear Regression for Agricultural Data", "topics": [ "agriReg-package", "agriReg" ] }, { "page": "clean_agri_data", "title": "Clean and validate agricultural field-trial data", "topics": [ "clean_agri_data" ] }, { "page": "compare_models", "title": "Compare multiple agriReg models side by side", "topics": [ "compare_models" ] }, { "page": "ed_estimates", "title": "Compute effective dose (ED) estimates from a dose-response model", "topics": [ "ed_estimates" ] }, { "page": "fit_dose_response", "title": "Fit a log-logistic or Weibull dose-response model", "topics": [ "fit_dose_response" ] }, { "page": "fit_linear", "title": "Fit a linear or mixed-effects model for agricultural trials", "topics": [ "fit_linear" ] }, { "page": "fit_nonlinear", "title": "Fit a nonlinear growth or response curve to agricultural data", "topics": [ "fit_nonlinear" ] }, { "page": "fit_polynomial", "title": "Fit a sequence of polynomial linear models and pick the best", "topics": [ "fit_polynomial" ] }, { "page": "gof_stats", "title": "Compute goodness-of-fit statistics for a model", "topics": [ "gof_stats" ] }, { "page": "herbicide_trial", "title": "Simulated herbicide dose-response dataset", "topics": [ "herbicide_trial" ] }, { "page": "load_example_data", "title": "Load a bundled agriReg example dataset", "topics": [ "load_example_data" ] }, { "page": "maize_growth", "title": "Simulated maize growth time-series", "topics": [ "maize_growth" ] }, { "page": "model_summary", "title": "Comprehensive model summary with fit statistics", "topics": [ "model_summary" ] }, { "page": "optimum_dose", "title": "Find the optimal x value (e.g. economic optimum dose)", "topics": [ "optimum_dose" ] }, { "page": "outlier_flag", "title": "Flag outliers using multiple methods", "topics": [ "outlier_flag" ] }, { "page": "plot_fit", "title": "A convenience wrapper for ggplot2 visualisation of model fit", "topics": [ "plot_fit" ] }, { "page": "plot.agriDRC", "title": "Plot a fitted dose-response curve", "topics": [ "plot.agriDRC" ] }, { "page": "plot.agriLM", "title": "Plot diagnostics for an agriLM model", "topics": [ "plot.agriLM" ] }, { "page": "plot.agriNLS", "title": "Plot a fitted nonlinear curve over observed data", "topics": [ "plot.agriNLS" ] }, { "page": "residual_check", "title": "Residual diagnostic plot panel", "topics": [ "residual_check" ] }, { "page": "wheat_trial", "title": "Simulated wheat nitrogen-response trial", "topics": [ "wheat_trial" ] }, { "page": "yield_normalize", "title": "Normalise yield values within groups", "topics": [ "yield_normalize" ] } ], "_rundeps": [ "abind", "backports", "boot", "broom", "car", "carData", "cli", "codetools", "colorspace", "cowplot", "cpp11", "Deriv", "doBy", "dplyr", "drc", "farver", "forecast", "Formula", "fracdiff", "generics", "ggplot2", "glue", "gtable", "gtools", "isoband", "labeling", "lattice", "lifecycle", "lme4", "lmtest", "magrittr", "MASS", "Matrix", "MatrixModels", "mgcv", "microbenchmark", "minqa", "modelr", "multcomp", "mvtnorm", "nlme", "nloptr", "nnet", "numDeriv", "patchwork", "pbkrtest", "pillar", "pkgconfig", "plotrix", "purrr", "quantreg", "R6", "rbibutils", "RColorBrewer", "Rcpp", "RcppArmadillo", "RcppEigen", "Rdpack", "reformulas", "rlang", "S7", "sandwich", "scales", "SparseM", "stringi", "stringr", "survival", "TH.data", "tibble", "tidyr", "tidyselect", "timeDate", "urca", "utf8", "vctrs", "viridisLite", "withr", "zoo" ], "_vignettes": [ { "source": "advanced-mixed-models.Rmd", "filename": "advanced-mixed-models.html", "title": "Advanced: Mixed models and multi-environment trials", "author": "agriReg Authors", "engine": "knitr::rmarkdown", "headings": [ "Multi-environment mixed model", "Fixed genotype, random environment", "Post-hoc comparisons with emmeans", "Fitting multiple growth curves by group", "Overlay curves on a single plot", "Comparing dose-response curves across species", "Exporting a comparison table to Word / Excel" ], "created": "2026-03-31 15:40:35", "modified": "2026-03-31 15:40:35", "commits": 1 }, { "source": "getting-started.Rmd", "filename": "getting-started.html", "title": "Getting started with agriReg", "author": "agriReg Authors", "engine": "knitr::rmarkdown", "headings": [ "Overview", "1 · Data preparation", "Cleaning and outlier detection", "Normalisation", "Advanced outlier flagging", "2 · Linear models", "Simple OLS", "Diagnostic plots", "Full residual panel", "Mixed-effects model", "Polynomial selection", "3 · Nonlinear models", "Logistic growth", "Gompertz curve", "Asymptotic (Mitscherlich) model", "Quadratic and optimum dose", "Linear-plateau model", "4 · Dose-response models", "Fit a 4-parameter log-logistic curve", "Effective dose estimates", "5 · Model comparison", "6 · Extracting results for reports", "Saving plots", "Session information" ], "created": "2026-03-31 15:40:35", "modified": "2026-03-31 15:40:35", "commits": 1 } ], "_score": 2.3010299956639813, "_indexed": true, "_nocasepkg": "agrireg", "_universes": [ "cran" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "0.1.0", "date": "2026-06-01T07:18:41.000Z", "distro": "noble", "commit": "d86450b33c737e87ed7e4c3176711e39aeb13c51", "fileid": "8c4d02b85b3dbce9d422ac6ed93421560cc2391d5e571951c72423280688b04c", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/26740606965" }, { "r": "4.6.0", "os": "linux", "version": "0.1.0", "date": "2026-06-01T07:18:34.000Z", "distro": "noble", "commit": "d86450b33c737e87ed7e4c3176711e39aeb13c51", "fileid": "0cd8a93ea6ca414420bbc56b0239738cc1f2984498c9101495e840635da0d1d8", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/26740606965" }, { "r": "4.6.0", "os": "wasm", "version": "0.1.0", "date": "2026-06-01T07:18:38.000Z", "commit": "d86450b33c737e87ed7e4c3176711e39aeb13c51", "fileid": "d52f2a6add5a9f0d11bb954094f53fa2b3c6b27bcf9176648cf213c241a48a55", "status": "success", "buildurl": "https://github.com/r-universe/cran/actions/runs/26740606965" } ] }