{ "_id": "6acec15cd9de2f3f33fc7875", "Package": "r4pde", "Type": "Package", "Title": "Tools for Quantitative Plant Disease Epidemiology", "Version": "0.2.3", "Authors@R": "person(given = \"Emerson\", family = \"Del Ponte\", email = \"delponte@ufv.br\",\nrole = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0003-4398-409X\"))", "Description": "Tools for quantitative plant disease epidemiology,\nincluding functional analysis of disease progress curves,\nspatial epidemiology, disease quantification, and\nweather-driven epidemic analysis. The package also serves as an\neducational resource and companion to the book \"R for Plant\nDisease Epidemiology\" (R4PDE). Several functions are based on\nclassical and contemporary methods, including those discussed\nin Laurence V. Madden, Gareth Hughes, and Frank van den Bosch\n(2007) .", "License": "MIT + file LICENSE", "Config/testthat/edition": "3", "Encoding": "UTF-8", "LazyData": "true", "VignetteBuilder": "knitr", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.3", "BugReports": "https://github.com/emdelponte/r4pde/issues", "URL": "https://emdelponte.github.io/r4pde/,\nhttps://github.com/emdelponte/r4pde", "Config/pak/sysreqs": "cmake libgdal-dev gdal-bin libgeos-dev libglpk-dev\nmake libicu-dev libxml2-dev libssl-dev libproj-dev\nlibsqlite3-dev libx11-dev", "Repository": "https://emdelponte.r-universe.dev", "Date/Publication": "2026-10-13 19:36:12 UTC", "RemoteUrl": "https://github.com/emdelponte/r4pde", "RemoteRef": "HEAD", "RemoteSha": "1e27267baac5e66b444546427c4144360ba515ec", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-13 23:32:28 UTC", "User": "root" }, "Author": "Emerson Del Ponte [aut, cre] (ORCID:\n)", "Maintainer": "Emerson Del Ponte ", "_user": "emdelponte", "_type": "src", "_file": "r4pde_0.2.3.tar.gz", "_fileid": "https://r2.ropensci.org/7836d43958dfa1679b6ecca018b80d8b7f16a7f2782fe1e3431a0fa74515cc02", "_filesize": 1096780, "_sha256": "7836d43958dfa1679b6ecca018b80d8b7f16a7f2782fe1e3431a0fa74515cc02", "_expires": "2027-01-21T23:40:10.000Z", "_created": "2026-10-13T23:32:28.000Z", "_published": "2026-10-13T23:40:12.424Z", "_buildurl": "https://github.com/r-universe/emdelponte/actions/runs/38484486998", "_status": "success", "_host": "GitHub-Actions", "_jobs": [ { "job": 115596177519, "time": 243, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "11859690372" }, { "job": 115596177539, "time": 243, "config": "linux-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "11860170434" }, { "job": 115596177430, "time": 142, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "11859885890" }, { "job": 115596177510, "time": 196, "config": "macos-release-arm64", "r": "4.6.1", "check": "OK", "artifact": "11859901088" }, { "job": 115594809169, "time": 243, "config": "source", "r": "4.6.1", "check": "OK", "artifact": "11857939520" }, { "job": 115596177481, "time": 145, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "11860070298" }, { "job": 115596177586, "time": 217, "config": "windows-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "11859855585" }, { "job": 115596177755, "time": 182, "config": "windows-oldrel-x86_64", "r": "4.5.3", "check": "OK", "artifact": "11859385677" }, { "job": 115596177612, "time": 161, "config": "windows-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "11860015316" } ], "_upstream": "https://github.com/emdelponte/r4pde", "_commit": { "id": "1e27267baac5e66b444546427c4144360ba515ec", "author": "Emerson M. Del Ponte ", "committer": "Emerson M. Del Ponte ", "message": "bug correction\n", "time": 1791920172 }, "_maintainer": { "name": "Emerson Del Ponte", "email": "delponte@ufv.br", "login": "emdelponte", "linkedin": "in/emerson-m-del-ponte-61678ba1", "description": "Professor of Plant Pathology\nDepartamento de Fitopatologia\nUniversidade Federal de Viçosa\nViçosa, MG Brazil ", "uuid": 16880798, "orcid": "0000-0003-4398-409X" }, "_distro": "resolute", "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 4.1.0", "role": "Depends" }, { "package": "boot", "role": "Imports" }, { "package": "car", "role": "Imports" }, { "package": "cluster", "role": "Imports" }, { "package": "dplyr", "role": "Imports" }, { "package": "ggplot2", "role": "Imports" }, { "package": "igraph", "role": "Imports" }, { "package": "lubridate", "role": "Imports" }, { "package": "mgcv", "role": "Imports" }, { "package": "magrittr", "role": "Imports" }, { "package": "nasapower", "role": "Imports" }, { "package": "progress", "role": "Imports" }, { "package": "purrr", "role": "Imports" }, { "package": "rlang", "role": "Imports" }, { "package": "stats", "role": "Imports" }, { "package": "utils", "role": "Imports" }, { "package": "survival", "role": "Imports" }, { "package": "tidyr", "role": "Imports" }, { "package": "tibble", "role": "Imports" }, { "package": "httr", "role": "Imports" }, { "package": "jsonlite", "role": "Imports" }, { "package": "terra", "role": "Imports" }, { "package": "interval", "role": "Suggests" }, { "package": "testthat", "role": "Suggests" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" }, { "package": "ggdendro", "role": "Suggests" }, { "package": "patchwork", "role": "Suggests" }, { "package": "cowplot", "role": "Suggests" }, { "package": "ncdf4", "role": "Suggests" }, { "package": "ggrepel", "role": "Suggests" } ], "_owner": "emdelponte", "_selfowned": true, "_usedby": 0, "_updates": [ { "week": "2026-01", "n": 1 }, { "week": "2026-02", "n": 3 }, { "week": "2026-06", "n": 10 }, { "week": "2026-07", "n": 3 }, { "week": "2026-08", "n": 5 }, { "week": "2026-14", "n": 2 }, { "week": "2026-17", "n": 8 }, { "week": "2026-18", "n": 2 }, { "week": "2026-24", "n": 1 }, { "week": "2026-25", "n": 3 }, { "week": "2026-28", "n": 1 }, { "week": "2026-37", "n": 7 }, { "week": "2026-40", "n": 1 }, { "week": "2026-42", "n": 2 } ], "_tags": [ { "name": "v1.0", "date": "2026-09-29" } ], "_topics": [ "botanical-epidemiology", "data-analysis", "data-analysis-r", "epidemics", "rlang" ], "_stars": 7, "_contributors": [ { "user": "emdelponte", "count": 125, "uuid": 16880798 }, { "user": "adamhsparks", "count": 2, "uuid": 3195906 } ], "_userbio": { "uuid": 16880798, "type": "user", "name": "Emerson M. Del Ponte", "followers": 128, "description": "Professor of Plant Pathology\r\nDepartamento de Fitopatologia\r\nUniversidade Federal de Viçosa\r\nViçosa, MG Brazil " }, "_downloads": { "count": 523, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/r4pde" }, "_devurl": "https://github.com/emdelponte/r4pde", "_pkgdown": "https://emdelponte.github.io/r4pde/", "_searchresults": 124, "_rbuild": "4.6.1", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/manual.pdf", "extra/NEWS.html", "extra/NEWS.txt", "extra/r4pde.html", "extra/readme.html", "extra/readme.md", "LICENSE" ], "_homeurl": "https://github.com/emdelponte/r4pde", "_realowner": "emdelponte", "_cranurl": true, "_releases": [ { "version": "0.1.0", "date": "2025-07-02" }, { "version": "0.2.2", "date": "2026-09-08" } ], "_exports": [ "AFSD", "augment", "augment_functional_pca", "augment_functional_rate", "autoplot.r4pde_functional_pca", "BPL", "CompMuCens", "count_subareas", "count_subareas_random", "diagnose_curves", "DSI", "DSI2", "fit_gradients", "functional_contrast", "functional_curves", "functional_distances", "functional_instability", "functional_pca", "functional_pca_clusters", "functional_rate", "functional_resistance", "functional_summary", "functional_suppression_profiles", "get_brdwgd", "get_era5", "get_fpca_eigenfunctions", "get_fpca_scores", "get_fpca_variance", "get_nasapower", "join_count", "oruns_test", "oruns_test_boustrophedon", "oruns_test_byrowcol", "plot_AFSD", "plot_curves", "plot_dendrogram", "plot_diagnostics", "plot_dsp", "plot_dsp_rank_heatmap", "plot_functional_instability", "rank_dsp", "reconstruct_curves", "simulate_dsp_data", "suggest_k", "theme_r4pde", "windowpane", "windowpane_tests" ], "_datasets": [ { "name": "BlastWheat", "title": "BlastWheat dataset", "object": "BlastWheat", "class": [ "spec_tbl_df", "tbl_df", "tbl", "data.frame" ], "fields": [ "study", "year", "location", "state", "latitude", "longitude", "heading", "inc_mean", "index_mean", "yld_mean" ], "rows": 143, "table": true, "tojson": true }, { "name": "BudBlightSoybean", "title": "BudBlightSoybean dataset", "object": "BudBlightSoybean", "class": [ "spec_tbl_df", "tbl_df", "tbl", "data.frame" ], "fields": [ "treat", "time", "block", "y" ], "rows": 64, "table": true, "tojson": true }, { "name": "DidymellaWatermelon", "title": "DidymellaWatermelon dataset", "object": "DidymellaWatermelon", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "dap", "NS_col", "EW_row", "severity" ], "rows": 1344, "table": true, "tojson": true }, { "name": "FHBWheat", "title": "FHBWheat dataset", "object": "FHBWheat", "class": [ "grouped_df", "tbl_df", "tbl", "data.frame" ], "fields": [ "season", "field", "quadrat", "n", "i" ], "rows": 3060, "table": true, "tojson": true }, { "name": "FHBWheatBrazil", "title": "FHBWheatBrazil dataset", "object": "FHBWheatBrazil", "class": [ "data.frame" ], "fields": [ "study", "year", "location", "state", "lat", "lon", "cultivar", "planting_date", "flowering", "index" ], "rows": 125, "table": true, "tojson": true }, { "name": "FusariumBanana", "title": "FusariumBanana dataset", "object": "FusariumBanana", "class": [ "spec_tbl_df", "tbl_df", "tbl", "data.frame" ], "fields": [ "lon", "lat", "marker", "field" ], "rows": 163, "table": true, "tojson": true }, { "name": "RustSoybean", "title": "RustSoybean dataset", "object": "RustSoybean", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "epidemia", "latitude", "longitude", "local", "planting", "detection", "severity" ], "rows": 34, "table": true, "tojson": true }, { "name": "SpatialAggregated", "title": "SpatialAggregated dataset", "object": "SpatialAggregated", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "x", "y" ], "rows": 208, "table": true, "tojson": true }, { "name": "SpatialRandom", "title": "SpatialRandom dataset", "object": "SpatialRandom", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "x", "y" ], "rows": 200, "table": true, "tojson": true }, { "name": "WhiteMoldSoybean", "title": "WhiteMoldSoybean dataset", "object": "WhiteMoldSoybean", "class": [ "spec_tbl_df", "tbl_df", "tbl", "data.frame" ], "fields": [ "study", "treat", "season", "harvest_year", "location", "state", "country", "elevation", "region", "elevation_class", "inc_check", "inc_class", "yld_check", "yld_class", "inc", "scl", "yld" ], "rows": 382, "table": true, "tojson": true } ], "_help": [ { "page": "AFSD", "title": "Analysis of foci structure and dynamics (AFSD)", "concept": [ "Spatial analysis" ], "topics": [ "AFSD" ] }, { "page": "augment", "title": "Augment generic for functional objects", "topics": [ "augment" ] }, { "page": "augment_functional_pca", "title": "Augment functional PCA", "topics": [ "augment_functional_pca" ] }, { "page": "augment_functional_rate", "title": "Augment functional_rate (alias)", "topics": [ "augment_functional_rate" ] }, { "page": "augment.functional_rate", "title": "Augment functional_rate", "topics": [ "augment.functional_rate" ] }, { "page": "BlastWheat", "title": "BlastWheat dataset", "topics": [ "BlastWheat" ] }, { "page": "BPL", "title": "Binary Power Law Analysis for Spatial Disease Patterns", "concept": [ "Spatial analysis" ], "topics": [ "BPL" ] }, { "page": "BudBlightSoybean", "title": "BudBlightSoybean dataset", "topics": [ "BudBlightSoybean" ] }, { "page": "CompMuCens", "title": "Survival analysis for quantitative ordinal scale data", "concept": [ "Disease quantification" ], "topics": [ "CompMuCens" ] }, { "page": "count_subareas", "title": "Count the Number of Ones in Subareas of a Matrix", "concept": [ "Spatial analysis" ], "topics": [ "count_subareas" ] }, { "page": "count_subareas_random", "title": "Random Subgrid Sampling of a Binary Matrix", "concept": [ "Spatial analysis" ], "topics": [ "count_subareas_random" ] }, { "page": "diagnose_curves", "title": "Diagnostic tools for functional epidemic curve models", "topics": [ "diagnose_curves" ] }, { "page": "DidymellaWatermelon", "title": "DidymellaWatermelon dataset", "topics": [ "DidymellaWatermelon" ] }, { "page": "DSI", "title": "Calculate the Disease Severity Index (DSI) (class for each unit)", "concept": [ "Disease quantification" ], "topics": [ "DSI" ] }, { "page": "DSI2", "title": "Calculate the Disease severity Index (DSI) (frequency of each class)", "concept": [ "Disease quantification" ], "topics": [ "DSI2" ] }, { "page": "FHBWheat", "title": "FHBWheat dataset", "topics": [ "FHBWheat" ] }, { "page": "FHBWheatBrazil", "title": "FHBWheatBrazil dataset", "topics": [ "FHBWheatBrazil" ] }, { "page": "fit_gradients", "title": "Fit Gradient Models to Data", "concept": [ "Spatial analysis" ], "topics": [ "fit_gradients" ] }, { "page": "functional_contrast", "title": "Functional Contrast (Disease Suppression Profiles)", "topics": [ "functional_contrast" ] }, { "page": "functional_curves", "title": "Fit genotype-specific epidemic trajectories using GAM", "topics": [ "functional_curves" ] }, { "page": "functional_distances", "title": "Compute pairwise functional distances and cluster curves", "topics": [ "functional_distances" ] }, { "page": "functional_instability", "title": "Normalized functional instability from fitted functional disease curves", "topics": [ "functional_instability", "functional_instability.functional_curves", "functional_instability.functional_dsp" ] }, { "page": "functional_pca", "title": "Functional principal component analysis of disease progress curves", "topics": [ "functional_pca", "functional_pca.functional_curves", "functional_pca.functional_dsp" ] }, { "page": "functional_pca_clusters", "title": "Cluster curves based on FPCA scores", "topics": [ "functional_pca_clusters" ] }, { "page": "functional_rate", "title": "Instantaneous Disease Progress Rates from Functional Curves", "topics": [ "functional_rate" ] }, { "page": "functional_resistance", "title": "Compute functional resistance and stability-adjusted functional resistance", "topics": [ "functional_resistance" ] }, { "page": "functional_summary", "title": "Summarize Disease Suppression Profiles", "topics": [ "functional_summary" ] }, { "page": "functional_suppression_profiles", "title": "Functional suppression profiles of disease control treatments", "topics": [ "functional_suppression_profiles" ] }, { "page": "FusariumBanana", "title": "FusariumBanana dataset", "topics": [ "FusariumBanana" ] }, { "page": "get_brdwgd", "title": "Fetch BR-DWGD Data for Multiple Locations", "concept": [ "Disease modeling" ], "topics": [ "get_brdwgd" ] }, { "page": "get_era5", "title": "Fetch ERA5 Data from Open-Meteo for Multiple Locations", "concept": [ "Disease modeling" ], "topics": [ "get_era5" ] }, { "page": "get_fpca_eigenfunctions", "title": "Get FPCA eigenfunctions", "topics": [ "get_fpca_eigenfunctions" ] }, { "page": "get_fpca_scores", "title": "Get FPCA scores", "topics": [ "get_fpca_scores" ] }, { "page": "get_fpca_variance", "title": "Get FPCA variance explained", "topics": [ "get_fpca_variance" ] }, { "page": "get_nasapower", "title": "Fetch NASA POWER Data for Multiple Locations with a Progress Bar", "concept": [ "Disease modeling" ], "topics": [ "get_nasapower" ] }, { "page": "join_count", "title": "Test for Spatial Join Count Statistics", "concept": [ "Spatial analysis" ], "topics": [ "join_count" ] }, { "page": "oruns_test", "title": "Runs Test", "concept": [ "Spatial analysis" ], "topics": [ "oruns_test" ] }, { "page": "oruns_test_boustrophedon", "title": "Boustrophedon Run Test for Binary Matrix", "concept": [ "Spatial analysis" ], "topics": [ "oruns_test_boustrophedon" ] }, { "page": "oruns_test_byrowcol", "title": "Runs Test for Each Row and Column of a Binary Matrix", "concept": [ "Spatial analysis" ], "topics": [ "oruns_test_byrowcol" ] }, { "page": "plot_AFSD", "title": "Plot ASFD", "concept": [ "Spatial analysis" ], "topics": [ "plot_AFSD" ] }, { "page": "plot_curves", "title": "Plot environment-adjusted epidemic curves by cluster", "topics": [ "plot_curves", "plot_curves.functional_distances", "plot_curves.functional_dsp" ] }, { "page": "plot_dendrogram", "title": "Plot functional dendrogram of epidemic curves", "topics": [ "plot_dendrogram" ] }, { "page": "plot_diagnostics", "title": "Plot diagnostics for functional epidemic curve models", "topics": [ "plot_diagnostics" ] }, { "page": "plot_dsp", "title": "Plot Disease Suppression Profiles", "topics": [ "plot_dsp" ] }, { "page": "plot_dsp_rank_heatmap", "title": "Plot DSP Rankings Heatmap", "topics": [ "plot_dsp_rank_heatmap" ] }, { "page": "plot_functional_instability", "title": "Plot method for functional instability results", "topics": [ "plot_functional_instability" ] }, { "page": "plot.functional_curves", "title": "Plot functional_curves", "topics": [ "plot.functional_curves" ] }, { "page": "plot.functional_rate", "title": "Plot functional_rate curves and rates", "topics": [ "plot.functional_rate" ] }, { "page": "plot.functional_suppression_profiles", "title": "Plot functional suppression profiles", "topics": [ "plot.functional_suppression_profiles" ] }, { "page": "plot.functional_suppression_profiles_list", "title": "Plot a list of functional suppression profiles", "topics": [ "plot.functional_suppression_profiles_list" ] }, { "page": "plot.r4pde_functional_pca", "title": "Plot functional PCA results", "topics": [ "autoplot.r4pde_functional_pca", "plot.r4pde_functional_pca" ] }, { "page": "print.functional_curves", "title": "Print functional_curves", "topics": [ "print.functional_curves" ] }, { "page": "print.functional_distances", "title": "Print functional_distances", "topics": [ "print.functional_distances" ] }, { "page": "print.functional_rate", "title": "Print a functional_rate object", "topics": [ "print.functional_rate" ] }, { "page": "print.functional_resistance", "title": "Print functional_resistance", "topics": [ "print.functional_resistance" ] }, { "page": "print.functional_suppression_profiles", "title": "Print functional suppression profiles", "topics": [ "print.functional_suppression_profiles" ] }, { "page": "print.functional_suppression_profiles_list", "title": "Print a list of functional suppression profiles", "topics": [ "print.functional_suppression_profiles_list" ] }, { "page": "print.r4pde_curve_diagnostics", "title": "Print method for curve diagnostics", "topics": [ "print.r4pde_curve_diagnostics" ] }, { "page": "print.suggest_k", "title": "Print method for suggest_k", "topics": [ "print.suggest_k" ] }, { "page": "print.summary.functional_suppression_profiles", "title": "Print summary of functional suppression profiles", "topics": [ "print.summary.functional_suppression_profiles" ] }, { "page": "print.summary.functional_suppression_profiles_list", "title": "Print summary of a list of functional suppression profiles", "topics": [ "print.summary.functional_suppression_profiles_list" ] }, { "page": "rank_dsp", "title": "Rank Treatments based on Functional DSP Descriptors", "topics": [ "rank_dsp" ] }, { "page": "reconstruct_curves", "title": "Reconstruct curves using specified FPCA components", "topics": [ "reconstruct_curves" ] }, { "page": "RustSoybean", "title": "RustSoybean dataset", "topics": [ "RustSoybean" ] }, { "page": "simulate_dsp_data", "title": "Simulate Disease Suppression Profile Data", "topics": [ "simulate_dsp_data" ] }, { "page": "SpatialAggregated", "title": "SpatialAggregated dataset", "topics": [ "SpatialAggregated" ] }, { "page": "SpatialRandom", "title": "SpatialRandom dataset", "topics": [ "SpatialRandom" ] }, { "page": "suggest_k", "title": "Suggest GAM smoothing parameters for epidemic curve models", "topics": [ "suggest_k" ] }, { "page": "summary.functional_rate", "title": "Summarize a functional_rate object", "topics": [ "summary.functional_rate" ] }, { "page": "summary.functional_suppression_profiles", "title": "Summarize functional suppression profiles", "topics": [ "summary.functional_suppression_profiles" ] }, { "page": "summary.functional_suppression_profiles_list", "title": "Summarize a list of functional suppression profiles", "topics": [ "summary.functional_suppression_profiles_list" ] }, { "page": "theme_r4pde", "title": "Custom ggplot2 theme based on cowplot::theme_half_open", "concept": [ "Miscellaneous" ], "topics": [ "theme_r4pde" ] }, { "page": "WhiteMoldSoybean", "title": "WhiteMoldSoybean dataset", "topics": [ "WhiteMoldSoybean" ] }, { "page": "windowpane", "title": "Window Pane for Epidemiological Analysis", "concept": [ "Disease modeling" ], "topics": [ "windowpane" ] }, { "page": "windowpane_tests", "title": "Windowpane Tests for Correlation Analysis", "topics": [ "windowpane_tests" ] } ], "_pkglogo": "https://github.com/emdelponte/r4pde/raw/HEAD/man/figures/logo.png", "_readme": "https://github.com/emdelponte/r4pde/raw/HEAD/README.md", "_rundeps": [ "abind", "askpass", "backports", "bit", "bit64", "boot", "broom", "car", "carData", "cli", "clipr", "cluster", "colorspace", "cowplot", "cpp11", "crayon", "crul", "curl", "Deriv", "doBy", "dplyr", "farver", "forecast", "Formula", "fracdiff", "generics", "ggplot2", "glue", "gtable", "hms", "httpcode", "httr", "igraph", "isoband", "jsonlite", "labeling", "lattice", "lifecycle", "lme4", "lmtest", "lubridate", "magrittr", "MASS", "Matrix", "MatrixModels", "mgcv", "mime", "minqa", "modelr", "nasapower", "nlme", "nloptr", "nnet", "numDeriv", "openssl", "pbkrtest", "pillar", "pkgconfig", "prettyunits", "progress", "purrr", "quantreg", "R6", "rbibutils", "RColorBrewer", "Rcpp", "RcppArmadillo", "RcppEigen", "Rdpack", "readr", "reformulas", "rlang", "S7", "scales", "SparseM", "stringi", "stringr", "survival", "sys", "terra", "tibble", "tidyr", "tidyselect", "timechange", "timeDate", "triebeard", "tzdb", "urca", "urltools", "utf8", "vctrs", "viridisLite", "vroom", "withr", "yyjsonr", "zoo" ], "_vignettes": [ { "source": "functional-analysis.Rmd", "filename": "functional-analysis.html", "title": "Functional analysis of plant disease progress curves", "engine": "knitr::rmarkdown", "headings": [ "Introduction", "Example Data: Soybean Bud Blight", "1. Fitting Disease Progress Curves: functional_curves()", "2. Instantaneous Velocity and Growth Phenotypes: functional_rate()", "3. Whole-Trajectory Distances and Clustering: functional_distances()", "4. Orthogonal Trajectory Decomposition: functional_pca()", "5. Functional Resistance Profiling: functional_resistance()", "6. Environmental Instability: functional_instability()", "Summary" ], "created": "2026-09-07 08:16:43", "modified": "2026-09-07 08:16:43", "commits": 1 } ], "_score": 6.7836177651907485, "_indexed": true, "_nocasepkg": "r4pde", "_universes": [ "emdelponte" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "0.2.3", "date": "2026-10-13T23:35:57.000Z", "distro": "resolute", "commit": "1e27267baac5e66b444546427c4144360ba515ec", "fileid": "https://r2.ropensci.org/02182bb85f5541efe5b537924d5f8f4dd60a727facc7a3f0a9a1729ec3cdd7f4", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/emdelponte/actions/runs/38484486998" }, { "r": "4.6.1", "os": "linux", "version": "0.2.3", "date": "2026-10-13T23:35:17.000Z", "distro": "resolute", "commit": "1e27267baac5e66b444546427c4144360ba515ec", "fileid": "https://r2.ropensci.org/e7bb70bdc6eb3bc7ffdde099ed17989ff1f7caa884e01329ea52fdaf0680053a", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/emdelponte/actions/runs/38484486998" }, { "r": "4.5.3", "os": "mac", "version": "0.2.3", "date": "2026-10-13T23:37:24.000Z", "commit": "1e27267baac5e66b444546427c4144360ba515ec", "fileid": "https://r2.ropensci.org/0789114e7d1a3ffcdcb7f4508219eda0216e9a91f863a62ab106decfb1170f3d", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/emdelponte/actions/runs/38484486998" }, { "r": "4.6.1", "os": "mac", "version": "0.2.3", "date": "2026-10-13T23:38:10.000Z", "commit": "1e27267baac5e66b444546427c4144360ba515ec", "fileid": "https://r2.ropensci.org/6029cf96b9b035d2189517508d12393ca75ec081272e7cd4b3a2ed3641621ec6", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/emdelponte/actions/runs/38484486998" }, { "r": "4.6.0", "os": "wasm", "version": "0.2.3", "date": "2026-10-13T23:35:23.000Z", "commit": "1e27267baac5e66b444546427c4144360ba515ec", "fileid": "https://r2.ropensci.org/921c55e3a9561bf77011651b5588a2b9fb4b5911282396f485a35fb5d2f961c2", "status": "success", "buildurl": "https://github.com/r-universe/emdelponte/actions/runs/38484486998" }, { "r": "4.7.0", "os": "win", "version": "0.2.3", "date": "2026-10-13T23:34:21.000Z", "commit": "1e27267baac5e66b444546427c4144360ba515ec", "fileid": "https://r2.ropensci.org/8eb750f7983074f5f9184a707552960b697e0279efbfdedfa9db5a1270c68937", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/emdelponte/actions/runs/38484486998" }, { "r": "4.5.3", "os": "win", "version": "0.2.3", "date": "2026-10-13T23:34:06.000Z", "commit": "1e27267baac5e66b444546427c4144360ba515ec", "fileid": "https://r2.ropensci.org/8809e4efcce058aa59f77231df5fe1ebfb552a5c45f137013f5b73eb1ac4b3f5", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/emdelponte/actions/runs/38484486998" }, { "r": "4.6.1", "os": "win", "version": "0.2.3", "date": "2026-10-13T23:34:27.000Z", "commit": "1e27267baac5e66b444546427c4144360ba515ec", "fileid": "https://r2.ropensci.org/b010aa7f6c72564438f6c5c1d0f611a09ca90da7eb60e0d3e2c669462039c22c", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/emdelponte/actions/runs/38484486998" } ] }