{ "_id": "6a4cb75707c3fd5c3260fa41", "Package": "leafareaR", "Type": "Package", "Title": "Leaf Area Modeling, Evaluation, and Prediction", "Version": "0.0.1", "Authors@R": "c(\nperson(\ngiven = c(\"Joao\", \"Everthon\"),\nfamily = \"da Silva Ribeiro\",\nemail = \"everthonribeiro10@gmail.com\",\nrole = c(\"aut\", \"cre\")\n),\nperson(\ngiven = c(\"Ester\", \"dos\", \"Santos\"),\nfamily = \"Coelho\",\nrole = \"aut\"\n),\nperson(\ngiven = c(\"Toshik\", \"Iarley\"),\nfamily = \"da Silva\",\nrole = \"aut\"\n)\n)", "Description": "Tools for leaf area estimation based on leaf length, leaf\nwidth, and observed leaf area. The package supports data\nvalidation, predictor generation, descriptive statistics,\nexploratory graphics, scatterplot matrices, linear models,\nnonlinear models, mixed models, model evaluation, ranking,\nequation generation, prediction, export of results and plots,\nand an interactive 'shiny' application. Methods implemented in\nthe package are aligned with non-destructive allometric\nworkflows described by Ribeiro et al. (2024)\n, Ribeiro et al. (2023)\n, and Ribeiro et\nal. (2025) .", "License": "GPL (>= 3)", "URL": "https://github.com/agrobioestat/leafareaR", "BugReports": "https://github.com/agrobioestat/leafareaR/issues", "Encoding": "UTF-8", "LazyData": "true", "VignetteBuilder": "knitr", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.3", "Config/testthat/edition": "3", "Config/pak/sysreqs": "cmake make libuv1-dev zlib1g-dev", "Repository": "https://agrobioestat.r-universe.dev", "Date/Publication": "2026-06-24 18:14:29 UTC", "RemoteUrl": "https://github.com/agrobioestat/leafarear", "RemoteRef": "HEAD", "RemoteSha": "ec205ffcdb13eca0bee11b85a5802b83401db367", "NeedsCompilation": "no", "Packaged": { "Date": "2026-07-07 08:17:33 UTC", "User": "root" }, "Author": "Joao Everthon da Silva Ribeiro [aut, cre],\nEster dos Santos Coelho [aut],\nToshik Iarley da Silva [aut]", "Maintainer": "Joao Everthon da Silva Ribeiro ", "_user": "agrobioestat", "_type": "src", "_file": "leafareaR_0.0.1.tar.gz", "_fileid": 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Everthon da Silva Ribeiro", "followers": 1 }, "_downloads": { "count": 0, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/leafareaR" }, "_devurl": "https://github.com/agrobioestat/leafarear", "_searchresults": 0, "_rbuild": "4.6.1", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/leafareaR.html", "extra/readme.html", "extra/readme.md", "manual.pdf" ], "_homeurl": "https://github.com/agrobioestat/leafarear", "_realowner": "agrobioestat", "_cranurl": true, "_releases": [ { "version": "0.0.1", "date": "2026-07-06" } ], "_exports": [ "la_abs_bias_metric", "la_add_equation_to_results", "la_bias", "la_build_equation", "la_ccc", "la_create_derived", "la_d", "la_descriptive_default", "la_descriptive_stats", "la_evaluate_linear_models", "la_evaluate_mixed_models", "la_evaluate_model", "la_evaluate_nonlinear_models", "la_extract_coefficients", "la_feature_display_names", "la_feature_labels", 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"leafarea_sample", "class": [ "data.frame" ], "fields": [ "L", "W", "LA", "block", "species", "genotype" ], "rows": 9999, "table": true, "tojson": true } ], "_help": [ { "page": "la_abs_bias_metric", "title": "Calculate absolute bias", "topics": [ "la_abs_bias_metric" ] }, { "page": "la_add_equation_to_results", "title": "Add equation information to a results table", "topics": [ "la_add_equation_to_results" ] }, { "page": "la_bias", "title": "Calculate prediction bias", "topics": [ "la_bias" ] }, { "page": "la_build_equation", "title": "Build a readable equation from a fitted model", "topics": [ "la_build_equation" ] }, { "page": "la_ccc", "title": "Calculate Lin's concordance correlation coefficient", "topics": [ "la_ccc" ] }, { "page": "la_create_derived", "title": "Create derived leaf parameters", "topics": [ "la_create_derived" ] }, { "page": "la_d", "title": "Calculate Willmott's index of agreement", "topics": [ "la_d" ] }, { "page": "la_descriptive_default", "title": "Summarize the default leaf area variables", "topics": [ "la_descriptive_default" ] }, { "page": "la_descriptive_stats", "title": "Calculate descriptive statistics for selected variables", "topics": [ "la_descriptive_stats" ] }, { "page": "la_evaluate_linear_models", "title": "Evaluate all linear models from a 'la_fit_linear_models()' object", "topics": [ "la_evaluate_linear_models" ] }, { "page": "la_evaluate_mixed_models", "title": "Evaluate all mixed models from a 'la_fit_mixed_models()' object", "topics": [ "la_evaluate_mixed_models" ] }, { "page": "la_evaluate_model", "title": "Evaluate a single fitted model", "topics": [ "la_evaluate_model" ] }, { "page": "la_evaluate_nonlinear_models", "title": "Evaluate all nonlinear models from a 'la_fit_nonlinear_models()' object", "topics": [ "la_evaluate_nonlinear_models" ] }, { "page": "la_extract_coefficients", "title": "Extract model coefficients", "topics": [ "la_extract_coefficients" ] }, { "page": "la_feature_display_names", "title": "Display labels for leaf variables", "topics": [ "la_feature_display_names" ] }, { "page": "la_feature_labels", "title": "Display labels for leaf variables", "topics": [ "la_feature_labels" ] }, { "page": "la_fit_linear_models", "title": "Fit candidate linear models for leaf area estimation", "topics": [ "la_fit_linear_models" ] }, { "page": "la_fit_mixed_models", "title": "Fit candidate linear mixed-effects models for leaf area estimation", "topics": [ "la_fit_mixed_models" ] }, { "page": "la_fit_nonlinear_models", "title": "Fit multiple nonlinear models", "topics": [ "la_fit_nonlinear_models" ] }, { "page": "la_input_overview", "title": "Summarize a validated leaf area dataset", "topics": [ "la_input_overview" ] }, { "page": "la_linear_fitted_values", "title": "Extract fitted values from linear model results", "topics": [ "la_linear_fitted_values" ] }, { "page": "la_linear_formulas", "title": "List default linear model formulas", "topics": [ "la_linear_formulas" ] }, { "page": "la_list_derived", "title": "List available derived variables", "topics": [ "la_list_derived" ] }, { "page": "la_mae", "title": "Calculate mean absolute error", "topics": [ "la_mae" ] }, { "page": "la_mape", "title": "Calculate mean absolute percentage error", "topics": [ "la_mape" ] }, { "page": "la_matrixplot", "title": "Create a matrix plot for selected variables", "topics": [ "la_matrixplot" ] }, { "page": "la_matrixplot_default", "title": "Create a default matrix plot for leaf variables", "topics": [ "la_matrixplot_default" ] }, { "page": "la_metric_table", "title": "Calculate a standard metric table from observed and predicted values", "topics": [ "la_metric_table" ] }, { "page": "la_mixed_coefficients", "title": "Extract coefficients from a mixed model", "topics": [ "la_mixed_coefficients" ] }, { "page": "la_mixed_fitted_values", "title": "Extract fitted values from mixed-model results", "topics": [ "la_mixed_fitted_values" ] }, { "page": "la_mixed_formulas", "title": "List default mixed-model formulas", "topics": [ "la_mixed_formulas" ] }, { "page": "la_mse", "title": "Calculate mean squared error", "topics": [ "la_mse" ] }, { "page": "la_nonlinear_coefficients", "title": "Return coefficients from a selected nonlinear model", "topics": [ "la_nonlinear_coefficients" ] }, { "page": "la_nonlinear_fitted_values", "title": "Extract observed, fitted values and residuals for a selected nonlinear model", "topics": [ "la_nonlinear_fitted_values" ] }, { "page": "la_nonlinear_specs", "title": "Default nonlinear model specifications", "topics": [ "la_nonlinear_specs" ] }, { "page": "la_nse", "title": "Calculate Nash-Sutcliffe efficiency", "topics": [ "la_nse" ] }, { "page": "la_plot_observed_predicted", "title": "Observed versus predicted leaf area plot", "topics": [ "la_plot_observed_predicted" ] }, { "page": "la_plot_residual_histogram", "title": "Histogram of residuals", "topics": [ "la_plot_residual_histogram" ] }, { "page": "la_plot_residual_qq", "title": "QQ 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