{ "_id": "6adb7addad718eea59ecc024", "Package": "HistDAWass", "Type": "Package", "Title": "Histogram-Valued Data Analysis", "Version": "1.0.10", "Date": "2026-10-22", "Authors@R": "c(person(given=\"Antonio\",\nfamily= \"Irpino\",\nrole = c(\"aut\", \"cre\"),\nemail = \"antonio.irpino@unicampania.it\",\ncomment = c(ORCID = \"0000-0001-9293-7180\")))", "Maintainer": "Antonio Irpino ", "Description": "In the framework of Symbolic Data Analysis, a relatively\nnew approach to the statistical analysis of multi-valued data,\nwe consider histogram-valued data, i.e., data described by\nunivariate histograms. The methods and the basic statistics for\nhistogram-valued data are mainly based on the L2 Wasserstein\nmetric between distributions, i.e., the Euclidean metric\nbetween quantile functions. The package contains unsupervised\nclassification techniques, least square regression and tools\nfor histogram-valued data and for histogram time series. An\nintroducing paper is Irpino A. Verde R. (2015) .", "License": "GPL (>= 2)", "VignetteBuilder": "knitr", "Config/testthat/edition": "3", "URL": "https://github.com/Airpino/HistDAWass", "BugReports": "https://github.com/Airpino/HistDAWass/issues", "LazyData": "true", "Collate": "'For_Rccp_int.R' 'All_classes.R' 'RcppExports.R' 'Utility.R'\n'Met_HTS.R' 'Met_MatH.R' 'Met_distributionH.R' 'Fuzzy_cmeans.R'\n'H_time_series.R' 'HistDAWass-package.R' 'Kohonen_maps.R'\n'principal_components.R' 'regression.R'\n'unsuperv_classification.R' 'Plotting_with_ggplot.R'", "Encoding": "UTF-8", "NeedsCompilation": "yes", "Config/roxygen2/version": "8.1.0", "Config/pak/sysreqs": "cmake libfreetype6-dev make libicu-dev libpng-dev\nlibuv1-dev zlib1g-dev", "Repository": "https://airpino.r-universe.dev", "Date/Publication": "2026-10-23 13:54:52 UTC", "RemoteUrl": "https://github.com/airpino/histdawass", "RemoteRef": "HEAD", "RemoteSha": "65258c765708bae1424fbab87d6b25978c2488bc", "Packaged": { "Date": "2026-10-23 15:03:21 UTC", "User": "root" }, 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"title": "Arithmetic operators for histograms", "topics": [ "*,distributionH,distributionH-method", "*,distributionH,numeric-method", "*,numeric,distributionH-method", "+,distributionH,distributionH-method", "+,distributionH,numeric-method", "+,numeric,distributionH-method", "-,distributionH,distributionH-method", "-,distributionH,numeric-method", "-,numeric,distributionH-method", "Arith-distributionH" ] }, { "page": "BLOOD", "title": "Blood data", "topics": [ "BLOOD" ] }, { "page": "BloodBRITO", "title": "Blood data from Brito", "topics": [ "BloodBRITO" ] }, { "page": "Center.cell.MatH-methods", "title": "Centre the histograms of a matrix", "topics": [ "Center.cell.MatH", "Center.cell.MatH,MatH-method" ] }, { "page": "checkEmptyBins-methods", "title": "Fix the empty bins of histograms", "topics": [ "checkEmptyBins", "checkEmptyBins,distributionH-method", "checkEmptyBins,MatH-method" ] }, { "page": "China_Month", "title": "Monthly climatic data of China", "topics": [ "China_Month" ] }, { "page": "China_Seas", "title": "Seasonal climatic data of China", "topics": [ "China_Seas" ] }, { "page": "compP-methods", "title": "Cumulative distribution function of a histogram at a value", "topics": [ "compP", "compP,distributionH,numeric-method" ] }, { "page": "compQ-methods", "title": "Quantile of a histogram", "topics": [ "compQ", "compQ,distributionH,numeric-method" ] }, { "page": "crwtransform-methods", "title": "Centres, radii and weights of the bins of a histogram", "topics": [ "crwtransform", "crwtransform,distributionH-method" ] }, { "page": "data2hist", "title": "Build a histogram from raw data", "topics": [ "data2hist" ] }, { "page": "distributionH-class", "title": "Histogram objects: the distributionH class", "topics": [ "distributionH", "distributionH-class", "initialize,distributionH-method" ] }, { "page": "dotpW-methods", "title": "Dot product of two histograms", "topics": [ "dotpW", "dotpW,distributionH,distributionH-method", "dotpW,distributionH,numeric-method", "dotpW,numeric,distributionH-method" ] }, { "page": "DouglasPeucker", "title": "Ramer-Douglas-Peucker algorithm", "topics": [ "DouglasPeucker" ] }, { "page": "extract-methods", "title": "Extract a sub-matrix of histograms", "topics": [ "extract-MatH", "[,MatH,ANY,ANY,ANY-method", "[,MatH-method" ] }, { "page": "get.cell.MatH-methods", "title": "Get or set a cell of a matrix of histograms", "topics": [ "get.cell.MatH", "get.cell.MatH,MatH,numeric,numeric-method", "set.cell.MatH", "set.cell.MatH,distributionH,MatH,numeric,numeric-method" ] }, { "page": "get.distr-methods", "title": "Cumulative distribution function of a histogram", "topics": [ "get.distr", "get.distr,distributionH-method" ] }, { "page": "get.histo-methods", "title": "Bins of a histogram", "topics": [ "get.histo", "get.histo,distributionH-method" ] }, { "page": "get.m-methods", "title": "Mean of a histogram (stored value)", "topics": [ "get.m", "get.m,distributionH-method" ] }, { "page": "get.MatH.main.info-methods", "title": "Dimensions and names of a matrix of histograms", "topics": [ "get.MatH.main.info", "get.MatH.main.info,MatH-method", "get.MatH.ncols", "get.MatH.ncols,MatH-method", "get.MatH.nrows", "get.MatH.nrows,MatH-method", "get.MatH.rownames", "get.MatH.rownames,MatH-method", "get.MatH.varnames", "get.MatH.varnames,MatH-method" ] }, { "page": "get.MatH.stats-methods", "title": "Statistics of the histograms of a matrix", "topics": [ "get.MatH.stats", "get.MatH.stats,MatH-method" ] }, { "page": "get.s-methods", "title": "Standard deviation of a histogram (stored value)", "topics": [ "get.s", "get.s,distributionH-method" ] }, { "page": "HTS-class", "title": "Histogram time series: the HTS class", "topics": [ "HTS-class", "initialize,HTS-method" ] }, { "page": "HTS.exponential.smoothing", "title": "Exponential smoothing of a histogram time series", "topics": [ "HTS.exponential.smoothing" ] }, { "page": "HTS.moving.averages", "title": "Moving averages of a histogram time series", "topics": [ "HTS.moving.averages" ] }, { "page": "HTS.predict.knn", "title": "K-NN forecast of a histogram time series", "topics": [ "HTS.predict.knn" ] }, { "page": "kurtH-methods", "title": "Kurtosis of a histogram", "topics": [ "kurtH", "kurtH,distributionH-method" ] }, { "page": "MatH-class", "title": "Matrices of histograms: the MatH class", "topics": [ "initialize,MatH-method", "MatH", "MatH-class" ] }, { "page": "meanH-methods", "title": "Mean of a histogram", "topics": [ "meanH", "meanH,distributionH-method" ] }, { "page": "OzoneFull", "title": "Ozone data (stations without missing data)", "topics": [ "OzoneFull" ] }, { "page": "OzoneH", "title": "Ozone data (all the stations)", "topics": [ "OzoneH" ] }, { "page": "plot_errors", "title": "Plot the errors of predicted histograms", "topics": [ "plot_errors" ] }, { "page": "plot-distributionH", "title": "Plot a histogram", "topics": [ "plot,distributionH-method", "plot-distributionH" ] }, { "page": "plot-HTS", "title": "Plot a histogram time series", "topics": [ "plot,HTS-method", "plot-HTS" ] }, { "page": "plot-MatH", "title": "Plot a matrix of histograms", "topics": [ "plot,MatH-method", "plot-MatH" ] }, { "page": "plot-TdistributionH", "title": "Plot a histogram with a time reference", "topics": [ "plot,TdistributionH-method", "plot-TdistributionH" ] }, { "page": "plotPredVsObs", "title": "Plot observed versus predicted histograms", "topics": [ "plotPredVsObs" ] }, { "page": "register-methods", "title": "Register two histograms on a common cdf", "topics": [ "register", "register,distributionH,distributionH-method" ] }, { "page": "registerMH-methods", "title": "Register the histograms of a matrix on a common cdf", "topics": [ "is.registeredMH", "is.registeredMH,MatH-method", "registerMH", "registerMH,MatH-method" ] }, { "page": "RetHTS", "title": "Histogram time series of returns", "topics": [ "RetHTS" ] }, { "page": "rQQ-methods", "title": "Correlation between the quantile functions of two histograms", "topics": [ "rQQ", "rQQ,distributionH,distributionH-method" ] }, { "page": "ShortestDistance", "title": "Distance between a point and a line", "topics": [ "ShortestDistance" ] }, { "page": "show-distributionH-methods", "title": "Print a histogram", "topics": [ "show,distributionH-method", "show-distributionH" ] }, { "page": "show-MatH-methods", "title": "Print a matrix of histograms", "topics": [ "show,MatH-method", "show-MatH" ] }, { "page": "skewH-methods", "title": "Skewness of a histogram", "topics": [ "skewH", "skewH,distributionH-method" ] }, { "page": "stations_coordinates", "title": "Coordinates of the stations of the China datasets", "topics": [ "stations_coordinates" ] }, { "page": "stdH-methods", "title": "Standard deviation of a histogram", "topics": [ "stdH", "stdH,distributionH-method" ] }, { "page": "subsetHTS-methods", "title": "Subset of a histogram time series", "topics": [ "subsetHTS", "subsetHTS,HTS,numeric,numeric-method" ] }, { "page": "summaryHTS", "title": "Summary statistics of a histogram time series", "topics": [ "summaryHTS" ] }, { "page": "TdistributionH-class", "title": "Histograms with a time reference: the TdistributionH class", "topics": [ "initialize,TdistributionH-method", "TdistributionH-class" ] }, { "page": "TMatH-class", "title": "Matrices of histograms with a time reference: the TMatH class", "topics": [ "initialize,TMatH-method", "TMatH-class" ] }, { "page": "WassSqDistH-methods", "title": "Squared L2 Wasserstein distance between two histograms", "topics": [ "WassSqDistH", "WassSqDistH,distributionH,distributionH-method" ] }, { "page": "WH_2d_Adaptive_Kohonen_maps", "title": "Batch Kohonen self-organising maps of histogram data with adaptive distances", "topics": [ "WH_2d_Adaptive_Kohonen_maps" ] }, { "page": "WH_2d_Kohonen_maps", "title": "Batch Kohonen self-organising maps of histogram data", "topics": [ "WH_2d_Kohonen_maps" ] }, { "page": "WH_adaptive_fcmeans", "title": "Fuzzy c-means clustering of histogram data with adaptive distances", "topics": [ "WH_adaptive_fcmeans" ] }, { "page": "WH_adaptive.kmeans", "title": "K-means clustering of histogram data with adaptive distances", "topics": [ "WH_adaptive.kmeans" ] }, { "page": "WH_fcmeans", "title": "Fuzzy c-means clustering of histogram data", "topics": [ "WH_fcmeans" ] }, { "page": "WH_hclust", "title": "Hierarchical clustering of histogram data", "topics": [ "WH_hclust" ] }, { "page": "WH_kmeans", "title": "K-means clustering of histogram data", "topics": [ "WH_kmeans" ] }, { "page": "WH_MAT_DIST", "title": "L2 Wasserstein distance matrix", "topics": [ "WH_MAT_DIST" ] }, { "page": "WH.1d.PCA", "title": "Principal component analysis of a histogram variable", "topics": [ "WH.1d.PCA" ] }, { "page": "WH.bind-methods", "title": "Bind matrices of histograms", "topics": [ "WH.bind", "WH.bind,MatH,MatH-method", "WH.bind,MatH-method", "WH.bind.col", "WH.bind.col,MatH,MatH-method", "WH.bind.col,MatH-method", "WH.bind.row", "WH.bind.row,MatH,MatH-method", 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