{ "_id": "6acb70f7fe5cc25786e90204", "Package": "deseats", "Type": "Package", "Title": "Data-Driven Locally Weighted Regression for Trend and\nSeasonality in TS", "Version": "1.1.3", "Date": "2026-10-11", "Authors@R": "c(person(given = \"Yuanhua\",\nfamily = \"Feng\",\nrole = \"aut\",\ncomment = \"Paderborn University, Germany\"),\nperson(given = \"Dominik\",\nfamily = \"Schulz\",\nrole = c(\"aut\", \"cre\"),\nemail = \"dominik.schulz.r@gmail.com\",\ncomment = \"formerly Paderborn University, Germany\"))", "Maintainer": "Dominik Schulz ", "Description": "Various methods for the identification of trend and\nseasonal components in time series (TS) are provided. Among\nthem is a data-driven locally weighted regression approach with\nautomatically selected bandwidth for equidistant short-memory\ntime series. The approach is a combination / extension of the\nalgorithms by Feng (2013) \nand Feng, Y., Gries, T., and Fritz, M. (2020)\n and a brief description of\nthis new method is provided in the package documentation and in\nmore detail in Schulz (2026) .\nFurthermore, the package allows its users to apply the base\nmodel of the Berlin procedure, version 4.1, as described in\nSpeth (2004)\n.\nPermission to include this procedure was kindly provided by the\nFederal Statistical Office of Germany.", "License": "GPL-3", "Encoding": "UTF-8", "URL": "https://github.com/dschulz13/deseats", "LazyData": "true", "Collate": "'AttachMessage.R' 'RcppExports.R' 'generics.R'\n'helper_functions.R' 'subplot_functions.R'\n'accuracy_measures.R' 'class-smoothing_options.R'\n'class-decomp.R' 'class-deseats.R' 'class-s_semiarma.R'\n'class-bv41.R' 'class-hfilter.R' 'class-lmdecomp.R'\n'class-madecomp.R' 'class-llindecomp.R' 'data_documentation.R'\n'fitting_functions.R' 'runDecomposition.R' 'class-deseats_fc.R'\n'forecasting_functions.R' 'bwidth_bootstrap.R'\n'gain_function.R' 'linear_filters.R' 'ts_conversion.R'\n'hA_calc.R' 'arima_no_warn.R' 'deseats-package.R'\n'seasonplot.R'", "Config/testthat/edition": "3", "VignetteBuilder": "knitr", "Config/roxygen2/version": "8.1.0", "Config/pak/sysreqs": "cmake make libmagick++-dev gsfonts texlive\nlibicu-dev libuv1-dev libssl-dev zlib1g-dev", "Repository": "https://dschulz13.r-universe.dev", "Date/Publication": "2026-10-11 09:41:29 UTC", "RemoteUrl": "https://github.com/dschulz13/deseats", "RemoteRef": "HEAD", "RemoteSha": "6c60aa455b802689c0db3d812afddd6288c1f661", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-10-11 11:11:18 UTC", "User": "root" }, "Author": "Yuanhua Feng [aut] (Paderborn University, Germany),\nDominik Schulz [aut, cre] (formerly Paderborn University, Germany)", "_user": "dschulz13", "_type": "src", "_file": "deseats_1.1.3.tar.gz", "_fileid": "https://r2.ropensci.org/6d7d3a1babed8a82ef11b5df3c1de918f326ca5cbe0cf2ba05865b2ae3e4af5b", "_filesize": 1088303, "_sha256": "6d7d3a1babed8a82ef11b5df3c1de918f326ca5cbe0cf2ba05865b2ae3e4af5b", 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"version": "1.1.2", "date": "2026-03-16" } ], "_exports": [ "animate", "arma_to_ar", "arma_to_ma", "autoplot", "boundary_method", "boundary_method<-", "BV4.1", "bwidth", "bwidth_confint", "bwidth<-", "create_gain", "create.gain", "deseasonalize", "deseats", "detrend", "expo", "fitted", "gain", "hA_calc", "hamilton_filter", "kernel_fun", "kernel_fun<-", "llin_decomp", "lm_decomp", "ma_decomp", "measures", "order_poly", "order_poly<-", "plot", "predict", "read_ts", "residuals", "run_decomposition", "runDecomposition", "s_semiarma", "season", "season<-", "seasonplot", "seasonplot_gg", "select_bwidth", "set_options", "show", "trend", "zoo_to_ts" ], "_datasets": [ { "name": "CIVLABOR", "title": "Monthly Civilian Labor Force Level in the USA", "object": "CIVLABOR", "class": [ "ts" ], "fields": [], "table": false, "tojson": true }, { "name": "CONSUMPTION", "title": "Quarterly Real Final Consumption Expenditure for Australia", "object": "CONSUMPTION", "class": [ "ts" ], "fields": [ "NCRNSAXDCAUQ" ], "rows": 242, "table": true, "tojson": true }, { "name": "COVID", "title": "Daily Confirmed New COVID-19 Cases in Germany", "object": "COVID", "class": [ "ts" ], "fields": [], "table": false, "tojson": true }, { "name": "DEATHS", "title": "Monthly Deaths in Germany", "object": "DEATHS", "class": [ "ts" ], "fields": [], "table": false, "tojson": true }, { "name": "ENERGY", "title": "Monthly Total Production and Distribution of Electricity, Gas, Steam, and Air Conditioning for Germany", "object": "ENERGY", "class": [ "ts" ], "fields": [ "DEUPREND401IXOBM" ], "rows": 390, "table": true, "tojson": true }, { "name": "EXPENDITURES", "title": "Quarterly Personal Consumption Expenditures in the USA", "object": "EXPENDITURES", "class": [ "ts" ], "fields": [], "table": false, "tojson": true }, { "name": "GDP", "title": "Quarterly US GDP", "object": "GDP", "class": [ "ts" ], "fields": [ "NA000334Q" ], "rows": 292, "table": true, "tojson": true }, { "name": "HOUSES", "title": "Monthly New One Family Houses Sold in the USA", "object": "HOUSES", "class": [ "ts" ], "fields": [ "HSN1FNSA" ], "rows": 252, "table": true, "tojson": true }, { "name": "LIVEBIRTHS", "title": "Monthly Live Births in Germany", "object": "LIVEBIRTHS", "class": [ "ts" ], "fields": [], "table": false, "tojson": true }, { "name": "NOLABORFORCE", "title": "Monthly Number of US Persons Not in the Labor Force", "object": "NOLABORFORCE", "class": [ "ts" ], "fields": [], "table": false, "tojson": true }, { "name": "RAINFALL", "title": "Monthly Average Rainfall in Germany", "object": "RAINFALL", "class": [ "ts" ], "fields": [], "table": false, "tojson": true }, { "name": "RETAIL", "title": "Monthly Total Volume of Retail Trade in Germany", "object": "RETAIL", "class": [ "ts" ], "fields": [ "DEUSLRTTO01IXOBM" ], "rows": 348, "table": true, "tojson": true }, { "name": "SAVINGS", "title": "Quarterly Savings of Private Households in Germany", "object": "SAVINGS", "class": [ "ts" ], "fields": [], "table": false, "tojson": true }, { "name": "SUNSHINE", "title": "Monthly Hours of Sunshine in Germany", "object": "SUNSHINE", "class": [ "ts" ], "fields": [], "table": false, "tojson": true }, { "name": "TEMPERATURE", "title": "Monthly Average Temperature in Germany", "object": "TEMPERATURE", "class": [ "ts" ], "fields": [], "table": false, "tojson": true } ], "_help": [ { "page": "deseats-package", "title": "Deseasonalize Time Series", "topics": [ "deseats-package" ] }, { "page": "animate", "title": "Automatic Creation of Animations", "topics": [ "animate" ] }, { "page": "animate-deseats-method", "title": "Animate Locally Weighted Regression Results", "topics": [ "animate,deseats-method" ] }, { "page": "arma_to_ar", "title": "AR Representation of an ARMA Model", "topics": [ "arma_to_ar" ] }, { "page": "arma_to_ma", "title": "MA Representation of an ARMA Model", "topics": [ "arma_to_ma" ] }, { "page": "autoplot-decomp-method", "title": "Plot Method for Decomposition Results in the Style of ggplot2", "topics": [ "autoplot,decomp-method" ] }, { "page": "autoplot-deseats_fc-method", "title": "'ggplot2' Plot Method for Class '\"deseats_fc\"'", "topics": [ "autoplot,deseats_fc-method" ] }, { "page": "autoplot-hfilter-method", "title": "'ggplot2' Plot Method for the Results of a Hamilton Filter", "topics": [ "autoplot,hfilter-method" ] }, { "page": "BV4.1", "title": "Trend and Seasonality Estimation Using the Berlin Procedure 4.1", "topics": [ "BV4.1" ] }, { "page": "bwidth_confint", "title": "Bootstrapping Confidence Intervals for Locally Weighted Regression Bandwidths", "topics": [ "bwidth_confint" ] }, { "page": "bwidth-deseats-method", "title": "Retrieve the Used Bandwidth from an Estimation Object", "topics": [ "bwidth,deseats-method", "bwidth,s_semiarma-method" ] }, { "page": "CIVLABOR", "title": "Monthly Civilian Labor Force Level in the USA", "topics": [ "CIVLABOR" ] }, { "page": "CONSUMPTION", "title": "Quarterly Real Final Consumption Expenditure for Australia", "topics": [ "CONSUMPTION" ] }, { "page": "COVID", "title": "Daily Confirmed New COVID-19 Cases in Germany", "topics": [ "COVID" ] }, { "page": "create_gain", "title": "Create Gain Function from a Linear Time Series Filter", "topics": [ "create_gain" ] }, { "page": "create.gain", "title": "Create Gain Function from a Linear Time Series Filter", "topics": [ "create.gain" ] }, { "page": "DEATHS", "title": "Monthly Deaths in Germany", "topics": [ "DEATHS" ] }, { "page": "deseats", "title": "Locally Weighted Regression for Trend and Seasonality in Equidistant Time Series under Short Memory", "topics": [ "deseats" ] }, { "page": "ENERGY", "title": "Monthly Total Production and Distribution of Electricity, Gas, Steam, and Air Conditioning for Germany", "topics": [ "ENERGY" ] }, { "page": "EXPENDITURES", "title": "Quarterly Personal Consumption Expenditures in the USA", "topics": [ "EXPENDITURES" ] }, { "page": "expo", "title": "Automatic Creation of Animations", "topics": [ "expo" ] }, { "page": "expo-deseats_fc-method", "title": "Exponentiate 'deseats' Forecasts", "topics": [ "expo,deseats_fc-method" ] }, { "page": "fitted-hfilter-method", "title": "Fitted Components of the Hamilton Filter", "topics": [ "fitted,hfilter-method", "residuals,hfilter-method" ] }, { "page": "gain", "title": "Gain Function Generic", "topics": [ "gain" ] }, { "page": "gain-deseats-method", "title": "Obtain gain function values for DeSeaTS Trend and Detrend Filters", "topics": [ "gain,deseats-method" ] }, { "page": "GDP", "title": "Quarterly US GDP", "topics": [ "GDP" ] }, { "page": "hA_calc", "title": "Calculation of Theoretically Optimal Bandwidth and Its Components", "topics": [ "hA_calc" ] }, { "page": "hamilton_filter", "title": "Time Series Filtering Using the Hamilton Filter", "topics": [ "hamilton_filter" ] }, { "page": "HOUSES", "title": "Monthly New One Family Houses Sold in the USA", "topics": [ "HOUSES" ] }, { "page": "LIVEBIRTHS", "title": "Monthly Live Births in Germany", "topics": [ "LIVEBIRTHS" ] }, { "page": "llin_decomp", "title": "Decomposition of Time Series Using Local Linear Regression", "topics": [ "llin_decomp" ] }, { "page": "lm_decomp", "title": "Decomposition of Time Series Using Linear Regression", "topics": [ "lm_decomp" ] }, { "page": "ma_decomp", "title": "Decomposition of Time Series Using Moving Averages", "topics": [ "ma_decomp" ] }, { "page": "measures", "title": "Forecasting Accuracy Measure Calculation", "topics": [ "measures" ] }, { "page": "NOLABORFORCE", "title": "Monthly Number of US Persons Not in the Labor Force", "topics": [ "NOLABORFORCE" ] }, { "page": "order_poly", "title": "Smoothing Option Generics", "topics": [ "boundary_method", "boundary_method<-", "bwidth", "bwidth<-", "kernel_fun", "kernel_fun<-", "order_poly", "order_poly<-", "season", "season<-" ] }, { "page": "order_poly-smoothing_options-method", "title": "Retrieve or Set Smoothing Options", "topics": [ "boundary_method,smoothing_options-method", "boundary_method<-,smoothing_options-method", "bwidth,smoothing_options-method", "bwidth<-,smoothing_options-method", "kernel_fun,smoothing_options-method", "kernel_fun<-,smoothing_options-method", "order_poly,smoothing_options-method", "order_poly<-,smoothing_options-method", "season,smoothing_options-method", "season<-,smoothing_options-method" ] }, { "page": "plot-decomp-method", "title": "Plot Method for Decomposition Results in the Style of Base R Plots", "topics": [ "plot,decomp-method" ] }, { "page": "plot-deseats_fc-method", "title": "Plot Method for Class '\"deseats_fc\"'", "topics": [ "plot,deseats_fc-method" ] }, { "page": "plot-hfilter-method", "title": "Plot Method for the Results of a Hamilton Filter", "topics": [ "plot,hfilter-method" ] }, { "page": "predict-s_semiarma-method", "title": "Point and Interval Forecasts for Seasonal Semi-ARMA Models", "topics": [ "predict,s_semiarma-method" ] }, { "page": "RAINFALL", "title": "Monthly Average Rainfall in Germany", "topics": [ "RAINFALL" ] }, { "page": "read_ts", "title": "Read in a Dataset Directly as an Object of Class '\"ts\"' or '\"mts\"'", "topics": [ "read_ts" ] }, { "page": "RETAIL", "title": "Monthly Total Volume of Retail Trade in Germany", "topics": [ "RETAIL" ] }, { "page": "run_decomposition", "title": "Shiny App for Decomposing Seasonal Time Series", "topics": [ "run_decomposition" ] }, { "page": "runDecomposition", "title": "Shiny App for Decomposing Seasonal Time Series (Deprecated)", "topics": [ "runDecomposition" ] }, { "page": "s_semiarma", "title": "Fitting of a Seasonal Semiparametric ARMA Model", "topics": [ "s_semiarma" ] }, { "page": "SAVINGS", "title": "Quarterly Savings of Private Households in Germany", "topics": [ "SAVINGS" ] }, { "page": "seasonplot", "title": "Creation of Seasonal Plots", "topics": [ "seasonplot" ] }, { "page": "seasonplot_gg", "title": "Creation of Seasonal Plots in the Style of ggplot2", "topics": [ "seasonplot_gg" ] }, { "page": "select_bwidth", "title": "Optimal Bandwidth Estimation for Locally Weighted Regression in Equidistant Time Series under Short Memory", "topics": [ "select_bwidth" ] }, { "page": "set_options", "title": "Specification of Smoothing Options", "topics": [ "set_options" ] }, { "page": "show-deseats-method", "title": "Printing of 'deseats' Function Results", "topics": [ "show,deseats-method" ] }, { "page": "show-s_semiarma-method", "title": "Show Method for Objects of Class '\"s_semiarma\"'", "topics": [ "show,s_semiarma-method" ] }, { "page": "show-smoothing_options-method", "title": "Show Method for Smoothing Options", "topics": [ "show,smoothing_options-method" ] }, { "page": "SUNSHINE", "title": "Monthly Hours of Sunshine in Germany", "topics": [ "SUNSHINE" ] }, { "page": "TEMPERATURE", "title": "Monthly Average Temperature in Germany", "topics": [ "TEMPERATURE" ] }, { "page": "trend", "title": "Obtain Estimated Components of a Time Series", "topics": [ "deseasonalize", "detrend", "trend" ] }, { "page": "trend-decomp-method", "title": "Obtain Individual Components of a Decomposed Time Series", "topics": [ "deseasonalize,decomp-method", "detrend,decomp-method", "fitted,decomp-method", "residuals,decomp-method", "season,decomp-method", "trend,decomp-method" ] }, { "page": "zoo_to_ts", "title": "Time Series Object Conversion from '\"zoo\"' to '\"ts\"'", "topics": [ "zoo_to_ts" ] } ], "_pkglogo": "https://github.com/dschulz13/deseats/raw/HEAD/man/figures/logo.png", "_readme": "https://github.com/dschulz13/deseats/raw/HEAD/README.md", "_rundeps": [ "animation", "base64enc", "bslib", "cachem", "cli", "codetools", "commonmark", "cpp11", "curl", "digest", "dplyr", "farver", "fastmap", "fontawesome", "fs", "furrr", "future", "future.apply", "generics", "ggplot2", "globals", "glue", "gtable", "htmltools", "httpuv", "isoband", "jquerylib", "jsonlite", "labeling", "later", "lattice", "lifecycle", "listenv", "magick", "magrittr", "memoise", "mime", "otel", "parallelly", "pillar", "pkgconfig", 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